Microsoft Jobs In Mountain View, CA

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Join our **Strategic Planning and Architecture** (SPARC) team within Microsoft's Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. The SPARC organization manages Azure's hardware roadmap from architecture concept through production for all of Microsoft's current and future cloud deployments. AI System Architecture (ASA) within SPARC has the mission to co-design system architecture of Azure AI cloud keeping in pace with evolving landscape of Neural Network models. We are seeking a motivated AI HW/SW Co-Design Research Intern to join our team. As a Research Intern, you will have the opportunity to work on exciting projects that explore the intersection of AI and hardware/software co-design. You will collaborate with experienced researchers and engineers, gaining valuable hands-on experience in this dynamic field and explore ways to push the boundaries on AI model performance/power optimization on latest hardware/system architectures. **Responsibilities** Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. **Additional Responsibilities** + Benchmark prevailing Neural Network architectures to understand Hardware/system characteristics. + Participate in performance analysis and optimization of AI workloads. + Come up with AI algorithms, system or hardware architecture innovations to drive efficiencies. + Assist in conducting research on AI hardware/software co-design methodologies. + Develop and implement co-design techniques to optimize AI performance. + Prototype the ideas to demonstrate the optimizations. + Write white papers and research publications. **Qualifications** **Required Qualifications** + Currently pursuing a master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science. + At least 1 year experience on working with deep learning hardware architectures. **Other Requirements** + Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. + In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. **Preferred Qualifications** + Ability to understand prevailing Neural Network Architectures. + Proficient understanding of AI algorithms and hardware architectures. + Experience with hardware description languages (HDLs) such as VHDL or Verilog. + Proficiency in programming languages such as Python, C++, or CUDA. + Familiarity with AI frameworks such as TensorFlow, PyTorch, or Caffe. + Knowledge of machine learning accelerators and hardware/software co-design methodologies. + Previous research experience or internships in related fields. Applied Sciences IC2 - The base pay range for this internship is USD $5,460 -$10,680 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $7,040 -$11,640 per month. Applied Sciences IC3 - The base pay range for this internship is USD $6,550 -$12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13, 920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* (*************************************************%C2%A0) Microsoft accepts applications and processes offers for these roles on an ongoing basis. \#AHSI #MSFTNSBE25 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (************************************************************** .

Meta is seeking a Hardware Engineer to join their team in Sunnyvale, CA. This position will be working in a lab setting performing various hardware testing and validation procedures on circuit boards and various subsystems. Job Responsibilities: Help to define and perform electrical validation methodologies for various hardware subsystems working with system integration EE team and technology teams. Define and track detailed test plans for the different modules and top-level systems. Oversee validation coverage including SoC, low speed signal interface signals, high speed differential interface, power measurements, and electrical performance of subsystems such as optical sensors, microphones, cameras, battery, charger, and RF. Drive and execute validation to meet key deadlines and priority goals. Own execution, interpretation, and reporting of electrical validation work status and results. Keep track of coverage metrics and bugs encountered and fixed Support system bring up and debug activities Clearly communicate test plans and results Job Qualifications: Bachelor's degree in electrical Engineer or similar degree Hardware lab experience conducting electrical system test and/or validation System testing on consumer electronics Experience with definition of validation test plans Experience executing electrical validation on the bench. Familiarity with lab equipment such as oscilloscopes, DMM, e-load, power supply, power analyzer, spectrum analyzer, signal generator, and temp chamber. Understanding of board schematics and board layout. Ability to find proper probe locations and identify potential points of failure in the DUT. Knowledge of Python and Matlab for data processing and automation. Bachelors degree in Electrical Engineering, Computer Science or equivalent experience

The application window is expected to close on: 03/11/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Cisco Silicon One is the center of Cisco's ASIC design and is driving the development of next-generation network devices for the 5G and AI era. Our outstanding team works in a startup atmosphere within a stable and leading corporate environment, and our design center hosts all silicon Hardware and Software development fields under one roof. Our devices are crafted for universal adaptability, delivering high speed without sacrificing programmability, buffering, power efficiency, scale, or feature flexibility. The Cisco Silicon One team develops breakthrough silicon products. We enable the use of these innovative products in the fast-paced world of Open Standards, Open Networking, and massively Scalable Cloud Data Centers. If you want to work with amazing people and cutting-edge customers developing the next generation of world-class products, join us Your Impact Develop and modify API's to implement functions for Cisco innovative networking ASICs. Integrate existing APIs and rewrite code to fit into existing SDK structures. Develop initialization and test procedures to verify ASIC operation and lead the transition of the ASIC into a production environment. •You will be working with a team of networking experts •Review and evaluate designs of APIs and suggest improvements. •You are a motivated engineer who enjoys networking and working on exciting technology products Minimum Qualifications •Bachelor's degree in Computer Engineering, Computer Science, Information Science, Electrical Engineering or relevant degree and 4+ years of related work experience or Masters degree in Computer Engineering, Computer Science, Information Science, Electrical Engineering or relevant degree +2 years of related work experience •Prior experience with software design skills using C or C++ •Prior experience with troubleshooting or debugging skills. •Experience with writing drivers or SDK for ASICS Preferred Qualifications •Experience with scripting languages such as TCL or Python •Experience working with Emulator or Simulator environments. •Experience in overall architecture of software systems: Linux kernel drivers #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

LinkedIn Data Science team is distributed in the US (Sunnyvale, Mountain View, San Francisco, New York), India and Dublin. We leverage science and engineering to maximize the power of data. Our work spans member engagement, growth, marketing, sales, operations, economic graph and more. With over one billion members around the world, a focus on member value, and a mix of B2B and B2C programs, a career in Data Science at LinkedIn offers countless ways to have an impact. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. As the Senior Manager of Data Science for the PSM (Product Service & Marketplaces comprising of LinkedIn Ads and LinkedIn Sales Solutions) team, you will lead an amazing team who are key to building data and intelligence into both Ads and Sales Solutions marketplaces comprising of marketing, sales, pricing, and customer success processes. This includes building a data foundation (e.g., metrics, targeting dimensions); applying statistical techniques such as A/B testing, and LTV estimation to measure Ads initiatives; applying machine learning to optimize the performance of key PSM process; and conduct in depth member and customer deep dive analysis to inform strategic decisions. You will lead a team to work closely with cross-functional teams such as product, engineering, AI, design, and user research, to develop and deliver insights, analyses, metrics and solutions with actionable recommendations to business partners. You will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through creative storytelling and timely actions. You'll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team find their voice to articulate how our trust teams can be Data First. Your growth will come from building and supporting strong leaders to whom you can effectively delegate, mentor for peak performance, define clear roles and accountability, communicate clear priorities and maximize cross-organizational alignment. Your long-term success will come not from a “command and control” style, but from “inspire and empower”. Responsibilities: • Define the strategic vision and roadmap to empower PSM growth by deepening our understanding of systems and marketplaces, enabling effective optimizations and data informed decisions. • Partner with our Marketing and Sales executive teams to align on goals, identify opportunities in our current state, as well as define where to build scalable technology and aligned methodology across lines of business. • Build strong collaboration and connective tissue with the other Line of Business Data Science teams and with key horizontal DS functions. • Be a role model and professional coach for data scientists and managers. Help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges (within and outside their team) to stretch their skills. • Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success • Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions. • Align with relevant teams on prioritization. • Be an industry thought leader. Represent LinkedIn in relevant industry forums. Basic Qualifications: • BS or above degrees in a quantitative field - Computer Science, Operational Research, Statistics, Economics, or related fields • 7+ years of relevant industry or relevant academic experience in Data Science / Analytics working with data; 2+ years experience in managing a team • Experience with SQL/Relational databases and data visualization tools • Experience in one of the domains - product analytics, marketing analytics, or sales analytics • Experience in applied statistics Preferred Qualifications: • 10+ years of relevant work experience • 3+ years' experience in managing Data Science teams • MS/PhD degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields • Strong leadership with track records in building high performing Data Science teams, driving projects, applying strategic thinking, building thought leadership and influencing senior leaders and executives • Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction • Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives • Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment • Experience managing through leads • Experience managing teams of 20+ data scientists/engineers • Extensive experience with Statistical inference, statistical modeling, experimentation, causal inference, and ML algorithms • Demonstrated ability to work with peers in Data Science or cross-functional teams • Experience telling stories with data and evangelizing a data driven culture Ability to work closely with tech leads to provide substantive guidance to more technically or analytically complex projects • Experience with manipulating massive-scale structured and unstructured data • Experience with Hadoop or other MapReduce paradigms, and associated languages such as Spark, Trino, etc. • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) • Proficiency in SQL and at least one programming language (e.g., R, Python, Scala) • Experience influencing strategy through data-centric presentations Suggested Skills: • People Leadership • Ads experience • Data Science / Analytics You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162,000-$267,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day, our members use our products to make connections, discover opportunities, build skills, and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters at the cutting edge of AI. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Description: As a Staff AI Scientist, you will play a pivotal role in advancing LinkedIn's efforts in cutting-edge AI research and development, focusing on large-scale foundation models and AI innovations. You will specialize in developing, training, and optimizing foundation models, including Large Language Models (LLMs), utilizing state-of-the-art deep learning architectures such as multi-billion parameter transformers and scaling them to serve LinkedIn's global user base. Your work will involve the design and deployment of high-performance AI systems, leveraging GPUs and other hardware accelerators for large-scale training and inference. You will collaborate with a world-class team of researchers and engineers to develop and advance the next generation of AI models to push the boundaries of AI at scale, working on complex problems such as distributed training, model parallelism, and system co-design. A successful candidate will be comfortable operating at the intersection of AI research and engineering, with a deep understanding of the latest advancements including but not limited to large model training, post-training techniques for planning and reasoning, fine-tuning strategies, reinforcement learning techniques. Responsibilities: • Lead and contribute to the research, design, and development of large-scale foundation AI models, focusing on LLMs, transformer architectures, and cutting-edge AI systems. • Publish the findings and innovations as the latest academic and industry research in top notch core AI venues such as ICML, NeurIPS, ICLR, ACL,, patents, and conferences as appropriate. • Stay abreast of the latest academic and industry research, applying relevant findings to improve LinkedIn's AI capabilities. • Innovate in large-scale model training, leveraging GPUs and specialized hardware for optimal performance. • Develop and maintain scalable AI pipelines, optimizing training and inference workflows to handle vast amounts of data. • Mentor junior engineers and contribute to team growth and knowledge sharing. • Collaborate with cross-functional teams of machine learning engineers, infrastructure engineers, and AI researchers to deliver impactful AI innovations across LinkedIn's products. Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of experience with programming languages such as Java, Python, etc. • 4+ years of experience in machine learning or AI engineering. • 4+ years of experience in the design and development of algorithmic solutions. Preferred Qualifications: • 6+ years of hands-on experience in large-scale model training, model-system co-design, or large AI systems. • PhD in Computer Science, Machine Learning, or a related technical discipline with a focus on advanced AI/ML techniques • Proven experience in building and optimizing large-scale AI/ML models using frameworks such as PyTorch, PySpark, and CUDA. • Proven track record of publications in top notch core AI venues including but not limited to ICML, NeurIPS, ICLR, ACL. • Expertise in distributed training, model parallelism, and hardware acceleration for AI workloads, including GPUs and TPUs. • Demonstrated ability to solve complex AI challenges in large-scale environments, optimizing models for efficiency and scalability. • Strong proficiency in AI system design, model optimization, and the development of production-quality AI pipelines. • Published work in AI research or significant contributions to industry-leading AI technologies. • Excellent communication skills and a demonstrated sense of ownership over key AI projects. Suggested Skills: • Large Language Models (LLM) • Generative AI (GAI) • AI Research and Development • GPU and Hardware Acceleration • Distributed AI Systems and Model Parallelism • You Will Benefit From Our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits, and/or other applicable incentive compensation plans. For more information, visit LinkedIn Benefits. Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Who We Are The Common Hardware Group (CHG) delivers the silicon, optics, and hardware platforms for Cisco's core Switching, Routing, and Wireless products. We design the networking hardware for Enterprises and Service Providers of various sizes, the Public Sector, and Non-Profit Organizations across the world. Cisco Silicon One (#CiscoSiliconOne) is the only unifying silicon architecture in the market that enables customers to deploy the best-of-breed silicon from Top of Rack (TOR) switches all the way through web scale data centers and across service provider, enterprise networks, and data centers with a fully unified routing and switching portfolio. Come join us and take part in shaping Cisco's ground-breaking solutions by designing, developing and testing some of the most complex ASICs being developed in the industry. What You'll Do This role expects you to be responsible for closing timing at block, sub-chip, and full-chip levels, performing quality checks such as setup, hold, transition, and noise, while managing ECO tasks. Your role may include extraction and STA flow development, convergence strategies, and correlation between PNR, Spice, and STA, along with advising the Physical Design team on best practices. Additionally, you'll develop methodologies, guidelines, and checklists to streamline STA work, resolve design and flow issues, and drive execution to ensure progress and accuracy. Who you'll work with You will collaborate with ASIC Front-end and Back-end teams to understand chip architecture and guide them in refining design and timing constraints for seamless physical design closure. As part of this team, you'll be working closely with the timing lead on backend timing signoff, including CDC checks, static timing verification, and silicon debugging. Who You Are Experience in generating timing constraints and performing quality checks such as setup, hold, transition, and noise. Timing closure with various timing ECO including transition, setup, hold, noise, crosstalk, and power recovery. Familiarity with various on-chip variation including AOCV, POCV and voltage, temperature, aging-based timing derates Proficient in synthesis constraints and using industry standard synthesis tools. Good written and verbal communication skills. Collaborative and team-focused with the commitment to learn and grow. Minimum Qualifications Bachelor's degree in electrical or computer engineering (or other equivalent field) with 5+ years of related work experience. Prior experience using Synthesis Tools: Synopsys DC/DCG/FC. Prior experience in Static Timing Analysis & ECO: Synopsys Primetime/Cadence Tempus. Prior experience with scripting such as TCL, Perl, or Python. Preferred Qualifications Master's degree in electrical or computer engineering (or other equivalent field) with 2+ years of related work experience. Experience using: Synopsys PTPX/Tweaker/PrimeClosure Experience using Formal Verification: Synopsys Formality and Cadence LEC. Experience using Parasitic Extraction: Synopsys Star-RCXT, Cadence Quantus. Why Cisco? #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data travelling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges and universities to teach in even the most challenging of times. We're helping businesses of all shapes and size to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. LinkedIn's Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact. We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities • Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them. • Analyze large-scale structured and unstructured data. • Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value and customer success. • Develop methodologies to enhance LinkedIn's product and platform capabilities. • Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights. • Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn. • Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena. • Initiate and drive projects to completion independently. • Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals. • Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company. • Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews. Basic Qualifications: • Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. • 5+ years of industry or relevant academia experience • Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl) • Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python) Preferred Qualifications: • 7+ years of industry or relevant academia experience • MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. Suggested Skills • Machine Learning • Research • Causal Inference You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be based in our Mountain View, CA campus. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is looking for a Manager, Service Management to transform and lead our Service Management team within the Productivity Engineering Operations organization. Your mission is to drive reliability for employee facing systems, advocate for effective observability and monitoring, and leverage automation to reduce employee-impacting issues, whether through minimizing tickets or preventing outages before they occur. You will lead a cross-functional team owning Critical Incident and Problem Management, Change Management, and IT Data Architecture/Service Portfolio. Each of these functions plays a key role in driving scalability and unlocking options for automation and continuous improvement that will streamline operations and help our Engineering teams to improve their products for our employees. This is more than a management role-it's an opportunity to lead a transformation that directly impacts employee productivity and operational resilience across the organization. Responsibilities: • Lead and manage a multi-disciplinary team of ITSM professionals across critical incident management, change management, service data architecture (CMDB, service portfolio), and product operations. Provide vision for your team and ensure they have the coaching and support necessary to drive transformation within our organization. • Act as a strategic partner to leadership, collaborating to define and execute the vision for modernizing service management across the organization. Work across operations, engineering, and business stakeholders to ensure seamless service delivery and alignment with business needs. • Leverage observability insights to improve incident response, problem management, and proactive risk mitigation by ensuring actionable data is used for faster resolution and trend analysis. Identify and set expectations for observability by working closely with Engineering teams to ensure critical systems have proper monitoring and alerting. Act as a primary advocate and key customer for Engineering-led observability initiatives. • Use monitoring and telemetry data to drive meaningful operational improvements by Engineering teams and ensure Service Management has full visibility into service health. • Champion automation strategies (including, but not limited to, use of gen Ai) to reduce manual processes, improve service efficiency, and minimize employee disruptions within the service management space. • Establish and monitor key performance indicators (KPIs) to track the effectiveness of service management processes and drive data-driven improvements. Create and publicly report on metrics such as incident response times, system uptime, change success rates, and automation efficiency to ensure continuous service optimization. Run regular operations review with key leadership to provide insights that can help drive decision-making and strategy. • Lead and support Critical Incident Management to ensure effective management and swift resolution of high-priority incidents. Serve as an escalation point for critical issues, driving clear communication and rapid response to minimize business impact. • Own the Problem Management function to identify root causes, prevent recurring incidents, and drive systemic improvements. Collaborate with cross-functional teams to analyze trends, implement corrective action plans, and proactively identify areas for continuous improvement. • Lead and continuously improve the Change Management process, ensuring successful deployment of system updates while partnering with engineering and operations teams to minimize risks, maintain system reliability, and balance agility with stability. Basic Qualifications: • BA/BS Degree in Information Technology Management, Engineering, Computer Science, or related technical discipline, or equivalent practical experience • 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management training • 7+ years of experience in IT operations, service management, or related fields • 5+ years of owning or driving ITSM functionality in ServiceNow (or similar systems) • Experience with systems reliability, observability, or automation initiatives in complex environments • Experience in IT service management frameworks (e.g., ITIL) and best practices Preferred Qualifications: • 10+ years of experience in IT service management, service operations, or IT leadership roles 5+ years of people management experience, including leading cross-functional teams with a global footprint • Proven track record in transforming IT service organizations, with hands-on experience driving automation and process improvements • Demonstrated success in managing critical incident response, change management, and data architecture functions (including CMDB/CSDM) • Extensive experience with modern service management tools and observability platforms (e.g., ServiceNow, Splunk, Datadog, Grafana) • Able to develop, maintain, and manage advanced reporting, analytics, dashboards, • Able to write and optimize SQL queries to extract, manipulate, and analyze data from various databases for analysis • Strong analytical and problem-solving skills, with the ability to leverage data to tell stories and drive decision-making • Excellent communication, leadership, and stakeholder management skills, with the ability to influence across all levels of the organization • Comprehensive understanding of enterprise IT infrastructure and IT logistics, including hardware lifecycle management, asset tracking, and the coordination of IT resources to support business operations Suggested Skills: • IT Service Management • Observability • Automation • Strategic Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $112,000 -185,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

As a Strategic Enterprise Account Executive for the Automotive, Mobility & Transportation Industry, you will have the opportunity to drive digital technology transformation in partnership with our most Strategic customers, to achieve both Microsoft and customer business outcomes. Leveraging your large, multi-functional team across the breadth of the Microsoft solutions portfolio, engage at the most senior levels of your customer and bring industry-relevant solutions to help the customer adopt and embrace digital technologies. Microsoft's Account Team focuses on empowering customers on their digital journey. This team is responsible for envisioning new possibilities for our customers, delivering solutions that result in targeted business outcomes and driving revenue growth for Microsoft. With a proven history of driving growth in market share, achieving sales targets, customer obsession, and partner collaboration, this role will give the opportunity to leverage your extensive customer network and sales experience to execute against your customer's account plan. This role is flexible in that you can work up to 50% from home. Required/Minimum Qualifications * 11+ years experience in working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education, Technology) and/or driving digital transformation * OR Bachelor's Degree AND 8+ years experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education, Technology) and/or driving digital transformation * OR Master's Degree AND 7+ years experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education, Technology) and/or driving digital transformation * OR equivalent experience. * 4+ years experience making recommendations to and/or collaborating with mid-to-senior level executives. * 6+ years experience closing large, complex agreements/deals. Additional or Preferred Qualifications * Bachelor's Degree AND 11+ years experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education, Technology) and/or driving digital transformation * Master's Degree AND 9+ years experience working in an industry (e.g., Financial Services, Retail, Manufacturing, Healthcare, Energy, Government, Education, Technology) and/or driving digital transformation * OR equivalent experience. Strategic Account Management IC4 - The typical base pay range for this role across the U.S. is USD $106,100 - $185,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $144,000 - $203,500 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers Microsoft will accept applications for the role until March 30, 2025. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. Competitive Knowledge * Proactively coordinates with internal network of industry experts to build and maintain strong knowledge of Microsoft's offerings (e.g., product landscape, solutions, industry strategy), the industry (e.g., emerging trends), competitors (e.g., AWS, Salesforce), and customer business priorities (e.g., challenges, competitive landscape) to articulate Microsoft's value proposition and shape business direction. Account Management * Leads efforts with key internal and external partners including vertical industry partners with business and technical decision makers in developing, sharing, and promoting mutually beneficial, long-term, tailored account plans to grow sales and partner impact, leveraging relationships, influence, and industry knowledge. Participates in discussions to impact the broader ecosystem (e.g., passing legislation). * Orchestrates the execution of strategies for the assigned account to ensure engagements yield high-volume sales, drive plans to increase revenue potential, and open new opportunities for both Microsoft and the partners, aligned to goals, budgets, and forecasts, Leads and coordinates with key internal and customer stakeholders (e.g., industry experts) on plan execution (e.g., prioritization, delegation) and drives accountability to deliver on account plans and grow the account, leveraging industry knowledge. * Develops mature strategies to execute plans for the assigned customer to ensure Microsoft and partner sales goals are on target, create high value revenue generating opportunities, and establish long term customer success and continued interaction. Strategic Thinking * Engages in strategic discussions by articulating ideas to evolve and facilitate evolution of customer business model using Microsoft capabilities. Leverages internal input and account knowledge to promote closer interactions between Microsoft and the customer. * Articulates Microsoft's and partners' point of view and creates deep connections with decision makers throughout multiple levels of the customers' organization to drive purchase decisions and increase interaction and participation, leveraging relevant tools and resources (e.g., LinkedIn). * Generates and leverages business strategic industry-focused insights to solve customer business problems. Sales Excellence * Orchestrates the creation of long-term strategies aimed at building a level of loyalty that would be hard for competitors to overcome. Anticipates issues/risks on customer satisfaction, determines the root cause of problems, removes blockers, and establishes recovery action plan to improve customer's overall experience. Builds trust and loyalty with the customer by providing up-to-date insights, challenging the customer when necessary, and introducing innovative ideas relevant to the customer's business strategy. * Leads the account management team and key stakeholders with deep industry expertise to engage business or technical decision makers of the assigned account. Leverages best-in-class sales and communication strategies and tools to deliver results and identify new opportunities. * Orchestrates high-impact solutions that enable digital transformation for assigned accounts and drive outcomes that create business value for customers. Owns the development of strategies that showcase the value added by Microsoft's innovative cloud offerings and ideas grounded on a deep understanding of industry trends and based on account needs and customer's expectations. * Leverages understanding of customer business and engages Microsoft decision makers to drive customer's strategy, goals, and optimization. Engages and collaborates with decision makers of the account (e.g., director-level) to create a mutually beneficial business value proposition, and develop plans to customize solutions that satisfy customers' Key Performance Indicators (KPIs). Customer Engagement * Cultivates relationships and uses Microsoft sales strategies throughout multiple levels of the customer's organization (e.g., executives, business, and technical decision makers) to establish strong alignment on long-term goals and secure buy-in and execution. * Proactively develops understanding of customer's business needs, priorities, strategies, and industry insights. Anticipates customers' needs to deliver new insights on their business strategy, and educate customers on ways to address them jointly. Shows differentiated value for the customer, leveraging industry expertise and guides internal colleagues on ways to develop deeper customer knowledge. Delivers solutions into overall business strategy.

The application window is expected to close on: 04/24/2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are part of Cisco Common Hardware Group (CHG), focusing on data center switch product, with high bandwidth and high power density. We are looking for an exceptional Thermal Engineer to tackle the challenges of high-power ASIC's, next generation cooling, and high-density I/O. We focus in various cooling solutions, from forced air, convection cooling to liquid cooling in Modular or fixed to rack platforms. You will work very closely with Hardware & mechanical Engineering, Product Management/Marketing, Product Operations team, Global Supplier Management (GSM), External Vendors/Suppliers, Manufacturing Operations, and CM partners. Your Impact The Thermal Engineer Technical Leader helps to conceptualize the design and develop innovative electronic systems from a thermal aspect. You will impact and shape the development of cutting-edge network gears and hardware designs. Use your strong technical background in computational fluid dynamic, acoustic and thermal knowledge to develop and innovate next generation cooling solution. This is not limited to forced air cooling, but also free convection, liquid cool solution, and beyond. You will collaborate with Cisco cross-functional teams to architect, define, build, and validate the Enterprise switches, high density I/O, and next generation ASIC cooling challenges. Primary Responsibilities: •Architect, design, and deliver electronic enclosure's cooling solution per customer, marketing and specification of product requirements •Work on current and next generation system designs for network switches, including modular and fixed platform •Collaborate with ASIC and SI to create component level thermal modeling •Drive consistent thermal methodologies, test spec, deliverables, and documentation across the Business Unit •Mentor/coach team members on career development and provide development feedback •Drive the resolution of issues from customer escalation, test, or manufacturing partners •Define test scope/report and manage multiple projects per deliverable schedule •Participate and/or take a lead role in Cisco's Patent Program •Interface cross-functionally and lead team collaboration extending beyond work group •Support vendor in custom heatsink or fan development •Assist with the evaluation and selection of new vendor Minimum Qualifications •Bachelor's Degree in Thermal engineering or equivalent degree +8 years of work experience or Master's degree in Thermal Engineering or equivalent degree and +6 years of related experience •8+ years of work experience in electronic cooling solutions, including heatsink design, fan development, and thermal interface materials •Prior experience with I/O technology, including ICM and optical transceivers like SFP, QSFP, QSFP-DD •Experience with FloTHERM or other CFD modeling tools Preferred Qualifications •Experience with air-cooled and free convection compact switches •Expertise with common CFD analysis tools in conjunction with dissemination of results clearly to inter-disciplinary team members •Hands on experiences in wind tunnel and acoustic tests •Ability to communicate thermal solutions at an executive level and influence the outcome #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

LinkedIn is the world's largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. Team Overview: The Enterprise AI team is responsible for 7B$+ LOBs at LinkedIn across Hirer, Learning and Enterprise Jobs verticals. The Hirer AI team is responsible for connecting individuals to opportunities and is building the next generation recruiter platform consisting of GenAI powered tools such as AI assisted search and automated in Mails. The exciting new charter of Hiring Assistant which will revolutionize recruiting workflows, is also LinkedIn's #1 priority. The work in the team includes building, tuning and applying generative AI models where relevant, working with Open AI to power GAI applications where relevant and innovating on cutting edge search and recommendation models to retrieve the best candidates for a given role. The LinkedIn Learning AI team is responsible for revolutionizing the online learning space and career development for employees by transforming the way users acquire new skills, improve existing ones, and prepare for the next challenges in their careers. By leveraging Generative AI, and Search & Recommendation technologies we power Learning recommendation, Learning search, and LLM-powered copilot systems specifically designed to empower our users to achieve their learning goals. The Enterprise Jobs AI team is responsible for connecting millions of job opportunities to our members and creating the best talent matching experience for our clients. There are opportunities to also work on cross-functional technologies that power job creation and promotion systems. Location: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA. Responsibilities: As the manager in the Enterprise AI team, you will work with exceptional AI Engineers and a very brilliant cross functional team, all laser-focused on creating platforms to connect all individuals in the global workplace to all the global opportunities and to create an impact on the learning, career development and job finding journeys of millions of LinkedIn users! With Enterprise being the largest LOB for LinkedIn, and an opportunity to scale them significantly makes this role a hyper growth role for a manager. • Directly responsible for a team of 6-10 engineers. • Work closely with various other teams (Product, Applications, Infrastructure, Vertical AI teams, etc.) to align on initiatives, leveraging existing solutions, and ensure optimal collaboration. • Participate in key technical and design discussions with technical leads in the team. • Define and leverage best practices for engineering and research to ensure optimal productivity and drive faster iterations. • Attract world class talent and provide technical guidance, career development, and mentoring to team members. • Operate best engineering and scientific practices & processes to ensure productivity of the team and drive faster iterations via A/B experiments. Basic Qualifications: • 5+ years of related industry experience in Machine Learning, development, and algorithm related solutions • 1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training • BA/BS in Computer Science or other technical discipline, or related practical technical experience • Hands on experience in data modeling and machine learning Preferred Qualifications: • 2+ years of experience as a Engineering Manager • 7+ years of professional experience in AI, Machine Learning, Data Engineering, or a related domain. • MS or PhD in Computer Science, Machine Learning, Statistics or related fields • Experience driving impact with Generative AI products and Search and Recommendation systems Suggested Skills: • Machine Learning, Big Data and Deep Learning • Engineering Leadership • AI Engineering You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. Compensation Disclosure: LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Gray Systems Lab (GSL) is an applied research lab under Azure Data. We do research and development for databases, big-data, and cloud systems and work in close collaboration with product teams to design innovative solutions for real-world problems. Our inclusive and welcoming team currently has focus areas in topics such as query optimization and execution, large and small language models, agents and agentic workflows, machine learning for systems, systems for machine learning, data science, resource management, storage systems, modern/future hardware (e.g. Non-volatile memory (NVM) and field-programmable gate arrays (FPGAs)), program analysis, cross system optimization, and data provenance, all centered around both internal and open-source systems such as Spark, Structured Query Language (SQL) Server, MySQL, Hadoop, MLFlow, Open Neural Network Exchange (ONNX), and others. There are opportunities to work on ideas from internal, as well as external, collaborations with partner universities and to continue to be an active scholar in the research community. The GSL team is looking for Research Interns who are interested in cutting edge research in close collaboration with advanced industry product groups. Past Research Internships have resulted in a combination of impact on production systems and publications at top conferences. Applicants should demonstrate a track record in one or more systems or data science topics and an aptitude for hands-on system building and design methodology to run and analyze experiments at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. We are open to all individuals and thrive on an inclusive environment and work culture. Neurodivergent individuals are encouraged to apply. **Responsibilities** Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. **Qualifications** **Required Qualifications** + Currently enrolled in a PhD or master's program in Computer Science, Statistics, Mathematics, or related STEM field. **Other Requirements** + Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. + In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. **Preferred Qualifications** + Experience with one of the following PostgreSQL, MySQL, SQL Server, Spark, or other databases or big data systems. + Experience contributing to research communities and/or efforts, including publishing papers (being listed as author) at academic conferences. + Experience with one or more general purpose programming languages such as Python, Java, C#, C++. + Takes initiative, but also follows a research/productization plan and work well as part of a team. + Proficient critical thinking and communication skills. Applied Sciences IC2 : USD $5,460 -$10,680 per month. There is a different range applicable to specific work locations, with the San Francisco Bay area and New York City Metropolitan area, and the base pay range for this role in those locations is USD $7,040 -$11,640 per month. Applied Sciences IC3 : USD $6,550 -$12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13, 920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Microsoft accepts applications and processes offers for these roles on an ongoing basis. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (************************************************************** .

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval. You would be joining the Media Infra org as a tech lead for the Media SDK team. Media Infra is the platform responsible for handling all media uploads and playback on LinkedIn. Media SDK team builds client SDKs and libraries to enable upload and playback of all media types like Video, Images, Documents, Live and VC. The team sits at the intersection of infra and product, so your work directly impacts member experience. Responsibilities: • You will design and build multiple media libraries covering image, video etc, which are adopted across LinkedIn ecosystem family apps. • You will follow industry developments and evaluate technologies from Apple, the open source world, and other LinkedIn teams to determine whether we should incorporate them to improve iOS developer productivity. • You will work with LinkedIn's iOS developer community to understand their needs and propose solutions to accelerate product iteration speed. • You will demonstrate craftsmanship and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. • You will provide technical leadership and use engineering best practices to initiate, plan, and execute large-scale, cross-functional, and company-wide projects. • You will run projects spanning dozens of teams to increase adoption of the latest technologies. • You will design ways to structure our application and build system to minimize build time in our multi-million line codebase. • You will constantly look for opportunities to improve trunk health, improve test infrastructure, and optimize build speed. • You will work closely with and influence product and/or technology partners regularly to help define roadmap • You will deliver impact by driving innovation while building and shipping software at scale • You will provide architectural guidance and mentorship to up-level the engineering organization • You will resolve conflicts between teams within the organization to get alignment and build team culture Basic Qualifications: • BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience. • 5+ years of industry experience in software design, development, and algorithm related solutions. • 5+ years programming experience in programming languages such as Objective-C, Swift, Java, C/C++, Python, etc. • 2+ years of experience in an architect or technical leadership position Preferred Qualifications: • 10+ years of relevant work experience, including 4+ years of native mobile (iOS or Android) development • Experience in designing and building infrastructure and web services at large scale. • Expansive technical knowledge and experience with mobile application development (Android, iOS, Windows, or other). • Deep knowledge of video playback frameworks such as AVFoundation, Core Media, and VideoToolbox. • Experience with image rendering and processing using Core Graphics, Core Animation, and Core Image. • Comprehensive knowledge of various media formats (e.g., MP4, MOV, HEVC), codecs, and streaming protocols such as HLS (HTTP Live Streaming) • Familiarity with hardware-accelerated video decoding and encoding. • Experience with large-scale distributed systems and client-server architectures • Experience leading by influence, formulating and driving technical strategies across various organizations • Experience leading a large organization Suggested Skills: • Technical Leadership • Architectural Mastery • Code Review and Quality Assurance • Cross-organizational collaboration • Mentoring and Knowledge Sharing You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $175,000 - $288,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. This role will be based in Sunnyvale, San Francisco, Bellevue or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members' platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment. Responsibilities: • Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions • Write production quality code and influence the next generation of LinkedIn's system • Collaborate with 10+ machine learning engineers to deliver impact on LinkedIn newsfeed • Build scalable AI innovations with foundation and infra partners Basic Qualifications: • Bachelor's degree in Computer Science or related technical field or equivalent practical experience • 4+ years of industry experience in software design, development, and algorithm related solutions. • 4+ years experience in programming languages such as Java, Python, etc. • 4+ years experience with machine learning, data mining, and information retrieval or natural language processing Preferred Qualifications: • 6+ years of relevant machine learning experience • MS or PhD in Computer Science or related technical discipline • Experience with machine learning, optimization algorithms, deep-learning techniques • Experience developing large scale systems • Experience with Spark, Tensorflow and Java. • Previous leadership or mentorship experience is preferred • Ability to diagnose technical problems, debug code, and automate routine tasks • Analytical approach coupled with solid communication skills and a sense of ownership • Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations Suggested Skills: • Experience leading engineers to tackle a large-scale AI problem • Strong technical background & Strategic thinking • Experience in Machine Learning, Big Data and Deep Learning • Experience in GAI and/or LLMs You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000-$268,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

We are inventing an AI Companion for Everyone - a superintelligent entity with personality and emotional intelligence that's always in your corner. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. Who are we? We're a small, friendly, fast-moving team, supporting one another to do the best work of our lives, always looking to break new ground with an undying dedication to the user. We are proud of what we build, how we build it, and that our products define the AI era while earning the trust of our users. We run lean, obsess about users, prioritize quality and polish, and always root our decisions in research and evidence. We ship regularly, so your work will have real and immediate impact. Our Core Values: * Quality. We only deliver category-defining products that delight with their ease of use, guaranteed reliability, and beautiful, coherent design. * Simplicity. We don't overcomplicate. Less is more, always. * Safety & Security. The highest standards of security, safety and responsibility are non-negotiable across all our business areas. * Evaluation. We pay close attention to signals and aren't afraid to change course when data and our experience tells us to. We are also careful with our metrics, focusing on delivering long-term sustainable value (rather than short-term KPIs). * Kindness. Kindness is at the heart of our org and how we conduct ourselves. We care for, and support and respect one another, beginning again and learning every day. We're on the lookout for a talented and passionate princioal level Brand Writer to help build the next wave of capabilities of our personal AI companion, Copilot. We're looking for someone who has experience and passion for driving the end-to-end process of setting design vision and execution for innovative zero-to-one consumer products. We're looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment. This is a player/coach role. In addition to setting vision and direction, the ideal candidate can execute craft at pace within our design principles. Our Design Principles: * Create Magical Moments * Guide the Journey * Personality is Pivotal * Always be Earning Trust * Sweat the Details * Be in Service to People Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. Required Responsibilities: * 3+ years proven writing or content design experience AND a certification, degree, or training in English, Writing, Human-centered Design, Literature, or related field * OR equivalent experience. * 1+ year(s) project leadership experience. Preferred Responsibilities: * A current portfolio is a must. * 5+ years' experience of demonstrated growth in writing or content design. * 2+ years' experience in brand agency environments and experience with brand thinking, naming and more. * Extensive experience with brand writing, creatinve voice, personality, and values to create copy that amplifies in product and marketing. * Experience working collaboratively with personality teams * Proven track record with influencing brand, product and marketing copy * Demonstrated experience with distilling down complex content into simple, cohesive material that spans across the Copilot product portfolio. * Experience with brand thinking and naming * AI experience is a must. Writing IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** Microsoft will accept applications for the role until April 20th, 2025 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #Copilot #MicrosoftAI #BrandWriter * Develop and define editorial judgment and data-driven insights/feedback loops to plan and maintain content across different areas (e.g., for a content set, reviewing, improving, editing, or removing content; for a design review, reviewing and critiquing interaction design and user-experience [UX] text). * Drives content approval and review process with partners across the organization and develop the language for Copilot, the core of the product. * Shapes the content story with cross-company partners to keep it within the established tone, voice, and broader communications strategy. * Drive building world-class AI applications that will delight consumers across Copilot, Edge, Bing, Windows and Mobile. * Own a product writing area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. * Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. * Enjoy working in a fast-paced, design-driven, product development cycle. * Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. * Define goals and performance indicators, set up and oversee experiments, measure success with data and research. * Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. * Embody our culture and values.

LinkedIn is the world's largest professional network, connecting professionals globally and creating economic opportunities for every member of the workforce. Our commitment to maintaining the highest standards of security and compliance is crucial to building trust with our members and partners. At Linked, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Job Overview We are seeking a Director to lead the Security Foundations Engineering (SFE) team within the Information Security team at LinkedIn. As a key player in our security strategy, you will drive the development and implementation of securing large-scale, distributed systems and microservices. This role will play a pivotal part in the design and execution of solutions to ensure the protection of our data and systems at scale. You will work closely with a team of engineers and cross-functional leaders to build and optimize security infrastructure & systems that supports LinkedIn's expanding user base and infrastructure needs. Lead the development and implementation of scalable, high-performance security infrastructure solutions that align with LinkedIn's security objectives. Oversee the strategy and evolution of areas of Identity, Access, Crypto/Key Management, and Vulnerability Management, ensuring solutions meet security, performance, and customer experience, and organizational goals. Direct the execution of large-scale programs, managing full lifecycle operations and guiding the strategic direction of security architecture. Ensure swift resolution and minimal impact to services. Recruit, mentor, and manage a high-performing security infrastructure team, fostering a culture of excellence and continuous growth. Partner with cross-functional teams across Engineering to integrate security solutions and enhance LinkedIn's infrastructure. Key Deliverables and Measures of Success Develop management practices to improve reliability, quality and performance of security services built and operated by Security Foundations Engineering. Drive the short, medium and long term roadmap for the security services which support LinkedIn's current and next generation infrastructure. Basic Qualifications 10+ years in security engineering leadership. 10+ years in security building and deploying security architecture, at scale, with at least 5+ of those years in a technical or people leadership position. 4+ years experience in one or more of the following areas: cloud data infrastructure, search infrastructure, ML platforms, large Hadoop infrastructure or equivalent Ability to lead by example and inspire the team to perform at a very high level, collaborates very well across different teams. Highly motivated and has the ability to convert vague and ill-defined problems into well-defined problems, take initiative and encourage consensus building across the entire organization. Preferred Qualifications 10+ years in cybersecurity for a highly regulated industry (e.g., finance, healthcare, energy) or technology. Have a proven track record of developing and implementing successful cybersecurity strategies, including defense-in-depth. 10+ years' experience in software design, development, and operation. 5+ years experience with large-scale distributed systems and client-server architectures. Experience with building and operating cryptographic systems at scale. Extensive understanding of large scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design. Extensive understanding of cloud native computing technologies like Kubernetes Strong leadership abilities in order to communicate and drive cross-functional efforts. Relationship and people leadership skills. "Suggested skills" - Security engineering - Security architecture - Leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $203,000 to $333,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plan. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ***************************************

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. As a Research Intern in the Strategic Planning and Architecture (SPARC) group, you will contribute to the design and development of transport features and telemetry systems for data center and AI networking environments. This role encompasses topics such as congestion control, load balancing, network reliability, and telemetry, with a focus on a specific subset of these areas relevant to the internship. You will have the opportunity to validate these solutions within a testbed environment and may utilize simulation tools to guide solution design. Applicants should demonstrate depth of knowledge in networking and demonstrate experience in low-level programming, experimentation, and modeling. Experience in software and hardware network programming is a plus, as it will aid in developing and prototyping networking solutions. Required Qualifications * Currently enrolled in a PhD program in Computer Science or a related STEM field. Other Requirements * Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. * In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Preferred Qualifications * Background in computer networking with a thorough understanding of transport protocols, congestion control. * Familiarity with network simulation environments (e.g., NS3, OMNET++) or experience with hardware RTL development (Verilog/VHDL) and prototyping (FPGA / ASIC). * Experience building networked systems and programming networking hardware, e.g. NICs and/or switches in datacenters. * Familiarity with large language models, and experience training them at scale, or running inference. The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Microsoft accepts applications and processes offers for these roles on an ongoing basis. * Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #AHSI #MSFTNSBE25 Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Additional Responsibilities * Engage early with their mentors to clearly formulate a plan of work for the 12 weeks of the Research Internship. * Clearly and frequently document and communicate their progress, adjusting the plan as the project evolves. * Show initiative and think unconventionally to derive creative and innovative solutions. *

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. Join our **Strategic Planning and Architecture** (SPARC) team within Microsoft's Azure Hardware Systems & Infrastructure (AHSI) organization and be a part of the organization behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live. The SPARC organization manages Azure's hardware roadmap from architecture concept through production for all of Microsoft's current and future on-line services. **Responsibilities** Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. **Additional Responsibilities** + Responsible for developing and contributing to an in-house performance modeling tool for large scale machine learning systems. + Responsible for evaluation of ideas for performance improvement along with bottleneck analysis and feature enhancement. + Responsible for building framework for running large scale parallel performance simulations using cloud-based compute infrastructure. + Developing a testing framework and testbenches for enabling operator level unit tests and end-to-end application tests for the performance model. + Integrate performance model with power & TCO model to project application level Perf/W and Perf/$ metrics across workloads. + Develop cloud-based performance simulation database for storing large scale data from design-space exploration experiments. + Develop data-analytics framework along with debug tools and automation for easier retrieval of performance data based on user queries. + Develop and maintain performance dashboards and visualization tools for improving the analysis framework. + Formalize and improve general software development practices including codebase maintenance, code review, feature development and software design reviews. + Integrating CI/CD pipeline into Azure devops software development process. + General troubleshooting and debug processes including common performance bottleneck limiters and developing performance comparison tools. + Collaborate with larger team to define product requirements, feature improvements and implementation. **Qualifications** **Required Qualifications** + Accepted or currently enrolled in a PhD program in Computer Science or a related STEM field. + At least 1 year of experience with performance analysis for AI accelerators. **Other Requirements** + Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. + In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. **Preferred Qualifications** + Ability to collaborate effectively with other researchers and product development teams. + Proficient interpersonal skills, cross-group, and cross-culture collaboration. + Ability to think unconventionally to derive creative and innovative solutions. The base pay range for this internship is USD $6,550 - $12,880 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,480 - $13,920 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* (*************************************************%C2%A0) Microsoft accepts applications and processes offers for these roles on an ongoing basis. \#AHSI #MSFTNSBE25 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (************************************************************** .

: LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: • You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. • You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. • You will produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. • You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross functional, and company-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity. Basic Qualifications: • BA/BS in Computer Science or related technical field or equivalent practical experience • 1+ years of industry experience in software design, development, and algorithm related solutions • Experience programming in languages such as Python, Java, Javascript, C/C++, C#, Objective-C, Ruby, etc. Preferred Qualifications: • Experience in designing and building infrastructure and web services at large scale. • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design. • Proven coding skills in Python or JavaScript/AJAX, database design and SQL, and/or knowledge of TCP/IP and network programming. • Experience building web applications and services with IDEs, ant, junit, etc. • Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management. Suggested Skills: • API Development • Programming Proficiency • Performance Optimization and Monitoring • Collaboration You will Benefit from our Culture We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $99,000 - $163,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: *********************************************************************************************************** Please reference ******************************************************************************************** and ************************************************************************************************ for more information. 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Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 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