Senior Software Engineer Jobs in Richmond, CA

Headline: Founding Engineer (AI Automation & Knowledge Graph) - SF Based, Open Source Focus - Up to $230K DOE About Our Client: Our client, a rapidly scaling Y Combinator startup, is revolutionizing financial compliance with advanced AI agents. They've already achieved an 87% reduction in manual reviews, automating processes within a $30 billion industry. Their vision extends to building a comprehensive global risk network, setting the stage for advancements in identity verification. Join their team in San Francisco to shape this transformative technology. Why Join Our Client: Significant Impact: Directly contribute to solving a major industry challenge with cutting-edge AI. Founding Role: Be the first founding engineer, playing a crucial role in shaping the company's technical direction. High-Growth Environment: Thrive in a fast-paced, YC-backed startup with ambitious goals. Expert Team: Collaborate with experienced entrepreneurs with proven track records. San Francisco Hub: Work in person in the heart of the SF tech ecosystem. The Role: Lead the development of their core AI technologies, focusing on: Building a Generalizable AI Automation Agent to streamline complex workflows. Constructing a Global Knowledge Graph to identify and mitigate risk. Responsibilities: Design, develop, and deploy scalable machine learning systems using Python, LLMs, VLMs, and traditional ML. Lead the development of key projects, from concept to production on AWS. Architect and implement robust data pipelines and infrastructure. Collaborate closely with the founders to define technical strategy and product roadmap. What They're Looking For: Proven ability to write clean, scalable code and solve complex technical challenges. A client-focused approach, with a strong understanding of building solutions that address real-world needs. A proactive, self-starting attitude, with a drive to take ownership and deliver results. A collaborative mindset and a strong team player. Demonstrable experience contributing to open-source projects (active GitHub required). Ability to work in person at their San Francisco office. Open to all experience levels from fresh graduate to Senior/Staff Engineer. Tech Stack: Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning Django, Docker, PostgreSQL, AWS Compensation: Up to $230,000 DOE (Depending On Experience) Join Them: If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance.. Ability to work in person at their San Francisco office. Open to all experience levels from fresh graduate to Senior/Staff Engineer. Tech Stack: Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning Django, Docker, PostgreSQL, AWS Compensation: Up to $230,000 DOE (Depending On Experience) Join Them: If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance.

Who We Are Here at Swish Robotics, we're bringing embodied intelligence into the home-starting with Bento, an AI-powered cooking robot that prepares fresh meals in under 20 minutes. Backed by top investors, we are assembling a world-class team to build intelligent consumer robots that transform everyday life. We're looking for a Founding Software Engineer to architect and develop the software stack that powers our robots. This is an opportunity to own the software foundation of a category-defining product, working alongside the founding team to take Bento from prototype to mass production. The Role As the Founding Software Engineer, you will lead the design and development of Bento's software stack, including its real-time control, embedded systems, and AI-driven user experience. You'll be responsible for core system architecture, companion app development, firmware development, cloud connectivity, and user interface integration-playing a pivotal role in shaping both the technical and strategic direction of Swish Robotics. What You'll Do - Own Embedded Systems Software Stack - Design and implement the system architecture for robot control, embedded computing, and cloud connectivity. - Develop Real-Time Control Systems - Write firmware to control motors, sensors, and actuators on ESP32 and Raspberry Pi 5. - Integrate AI & Computer Vision - Work with onboard AI models for object recognition, sensor fusion, and real-time decision-making. - Build a Dynamic UI & User Experience - Develop a custom UI for the robot using PyQt5 and manage app-to-robot communication. - Optimize Performance & Reliability - Ensure the system is fast, responsive, and robust, even in constrained environments. - Cloud & IoT Integration - Enable remote monitoring, OTA updates, and real-time feedback from the Bento robot. - Establish Best Practices - Define coding standards, DevOps pipelines, and system monitoring tools for long-term scalability. Who You Are Required Qualifications: - Experience in software engineering, embedded systems, or robotics. - Expertise in Python, C++, or Rust for real-time and embedded applications. - Experience developing software for robotics, automation, or real-time control systems. - Familiarity with hardware communication protocols (UART, SPI, I2C, gRPC, MQTT, WebSockets). - Experience with Linux-based embedded systems (Raspberry Pi, Jetson, etc.). - Ability to architect full-stack solutions integrating firmware, edge computing, and cloud services. - Passionate about building consumer hardware and making robotics accessible to everyday users. Bonus: - Experience with computer vision, speech recognition, or reinforcement learning - Solid foundation in AWS (EC2, Lambda, S3, IoT Core, etc.) Why Join Us? Build Something Revolutionary - Be at the forefront of consumer robotics and embodied AI. High Ownership & Impact - Your work will directly shape the future of Swish. Equity - Meaningful equity in one of the fastest-growing robotics companies. First 5 Employees - Help define the culture, vision, and technical foundation of our company. Fast Execution - We move quickly, break things, and learn fast. It's a Grind (But Worth It) - We're building ambitious hardware, which means long hours, high standards, and constant problem-solving. It's not easy-but if you're wired for this, there's nowhere more exciting to be.

What is Sela? Sela is an AI phone agent that can conduct open-ended phone sales conversations really effectively. Compared to other voice AI agents, our architecture makes it 10x easier to sculpt and adjust the way our agent responds to pivotal moments in conversations, producing more polished responses and better conversion rates than human call center agents. We are well funded ($6m seed from a top VC) and are building the core engineering team in SF. What will you do in this role? This is a high-growth, hands-on technical leadership role. You will work closely with the founders to continuously re-think and re-design Sela's various backend services as we scale to millions of phone calls a day. You will also participate in hiring and serve as a tech lead for more junior engineers. Reasons to work with us The tech is so incredibly cool. You get to work at the cusp of what's technically possible in applied AI. The low latency requirements of realtime speech means that our entire stack has to be lightning fast. Building our agents comes with a very specific joy of creating something rich, interactive, and lifelike. The fundamental problem is super challenging and super rewarding. We have the right raw ingredients to become a large generational company. Around 2% of the US works in phone sales (~$250B in salaries), and the industry will be completely transformed by this technology. The core product offering has tremendous product-market fit, because we're solving something that is core to all these companies. We are starting to roll out our tech to some of the biggest players in the space. Work directly with the founders who want to build a great company but also build a fun and rewarding place to work. Nate is a repeat founder (YC alum) and an industry expert. Vahe is an ex-Google tech lead and NLP researcher. Job responsibilities Design and build scalable backend infrastructure to support real-time communication Design, build and maintain a public API to be used by Sela's partners Design and build integrations with 3rd party software such as CRMs, Dialers, calendars, custom APIs, etc. Work with other backend engineers to improve our real-time communication platform Lead and mentor a team of more junior engineers Work with the devops team to identify the best deployment and scaling strategies Work with the frontend engineers to support Sela's user-facing web application Work with the ML engineers to support our proprietary AI features Qualifications 8 -10 years of experience in backend system design Experience building high QPS public APIs Experience in growth stage startups (Seed+ or Series A+) Expert knowledge of either Python or Go Excellent technical communication skills

Latent is working on unsolved problems concerning the robust and reliable integration of Medical Intelligence. Health systems across the US trust our multi-modal search platform to answer highly sensitive questions over patient data. Additionally, we offer next-generation question answering, pushing the boundaries of SOTA in medical QA. By analyzing EHR records, our flagship product surfaces the most relevant data, reducing operational overhead in healthcare. As a Backend Engineer at Latent, you will design, build, and maintain the core infrastructure that powers pharmacy teams to complete prior authorizations, ensuring their patients receive their medications as soon as possible. You will work closely with the broader engineering team and report directly to the two co-founders. This role is in-person in our SF office 5 days a week. This role is full-time and onsite in our SF office. Qualifications Experience working with a modern infrastructure stack, including common cloud providers (e.g. AWS, Azure), containers (e.g. Docker), queuing systems (e.g. SQS, Kafka), and standard database technologies (e.g. Postgres) 3-5+ years of relevant experience in software development, with a proven track record of success Experience working in high-ambiguity environments, such as startups or innovative end-to-end projects within larger organizations Willingness to commute to our San Francisco office 5x per week and occasionally travel to health systems for clinician shadowing sessions Responsibilities Collaborate with co-founders to build product features for early customers Work closely with early customers to understand business requirements and build features that really matter Help grow the engineering organization and set cultural direction What We Value A demonstrated history of excellence in your personal and/or professional endeavors Robust experience delivering impactful software projects that involve engineering skills across the stack A collaborative mindset, with excellent communication skills A proactive approach to identifying and solving problems, with minimal oversight. Agency + ownership are key to success An extremely strong work ethic with commitment to quality and detail. Write clean, maintainable, and testable code Why You Should Join Us Strong backing from investors like General Catalyst, Conviction and YC Best-in-class technical team that is deeply mission aligned Have a huge impact on a small team with lots of green space for growth We're contracted with the nation's top hospital systems Competitive salary and equity compensation Excellent benefits and versatile health, dental, and vision coverage plans Paid parental leave Unlimited PTO

Founding Software Engineer (Full-Stack) 💼 About the Job Founding Software Engineer - Competitive Salary + Bonus 📍 San Francisco, CA | Permanent | Hybrid Search Technology is proud to be the exclusive recruitment partner for an innovative early-stage AI Cyber Security start-up that has recently secured a significant seed funding round. Founded by a former security expert from Tesla, SpaceX, and Microsoft, this company is on a mission to redefine cybersecurity capabilities. Search Technology is now assembling a world-class founding engineering team to build out a platform that will define a whole new set of capabilities in the Cyber realm. We are hiring 1x Lead Engineers as well as an initial team of 4 across Mid, Senior & Staff levels. We are looking for engineers with a mix of experience across Full stack, AI Engineering, Platform/Infra etc. 🔑 What You'll Need 4.5+ years of experience building, ideally with a blend of 0 - 1 experience and Big Tech/FAANG Experience working across the stack, Tech stack is flexible - but will most likely be Python/Go backend Expertise in designing scalable, high-performance architectures Strong Cloud experience A proactive, independent, and collaborative mindset, excelling in fast-paced startup environments Passion for AI & Cybersecurity, thriving at the intersection of automation and security Excellent communication skills, confident at speaking to stakeholders at different levels ⚡ What's in it for You? Founding team member at a stealth-mode startup backed by top investors Work alongside cybersecurity pioneers from global leading AI / Technology firms Help build a first-of-its-kind AI-powered security platform Competitive salary + equity in a high-impact startup

At xpander.ai, we are building a platform that enables developers to create, test, and deploy custom AI Agents capable of performing multi-step actions with any AI model that supports function calling. As a Senior Backend Software Engineer (what we call an AI Engineer), you will play a key role in designing, developing, and maintaining the core systems that power this platform. In this role, you'll focus on building robust, scalable, and efficient backend solutions that enable developers to create production-grade AI Agents. You will design and optimize the platform's architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI Agents for any use case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity. Responsibilities: Design, develop, and maintain the core backend architecture of our AI-driven platform. Take ownership of end-to-end development processes, from design to deployment. Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows. Implement new platform features and capabilities, driving innovation and enhancing performance. Research and integrate advanced technologies to improve system scalability and reliability. Ensure code quality through testing, code reviews, and best practices. Qualifications Minimum of 5 years in software engineering. At least 2 years specifically in Python. Proven knowledge in building and maintaining web applications and/or APIs. Experience in designing and developing APIs. Experience in architecting software systems from the ground up. Nice-to-have : Hands-on experience with AWS for architecting and deploying applications. Nice-to-have : Experience in CI/CD, containerization, and orchestration. Ideal Candidate Languages: High proficiency in Python. Full-Stack Development: Skilled in using frameworks and libraries such as FastAPI, Flask, Django, React, Angular, Node.js. DevOps Practices: Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes). Database Management: Experience with relational and non-relational databases (MongoDB, DynamoDB). Security and Compliance: Knowledge of security best practices and compliance requirements. Performance Optimization: Understanding of strategies to analyze and improve system performance.

My client is searching for a talented engineer to work on ML/LLM inference and serving. They specialize in developing next-gen LLM fine-tuning and inference engines. We are seeking a talented and motivated Software Engineer specializing in Machine Learning (ML) and Large Language Model (LLM) inference to join our dynamic ML Inference team. In this role, you will bridge the gap between AI/ML research and systems programming to build and enhance our next-generation LLM Inference Engine. You will play a crucial role in optimizing the performance, scalability, and efficiency of our LLM serving systems. Key Responsibilities: Develop and Enhance Inference Engine: Design, implement, and optimize the next-generation LLM Inference Engine. Integrate the latest LLM inference techniques from research to enhance latency and throughput. Performance Optimization: Conduct deep performance optimizations across multiple layers of the technology stack, including PyTorch, C++, and CUDA. Analyze and improve system performance to meet the demands of various use cases. Customer Collaboration: Work closely with customers to understand specific performance requirements and optimize solutions accordingly. Provide technical expertise and support to ensure successful deployment and operation of inference systems. Technical Leadership: Define the roadmap and technical vision for the inference stack. Lead initiatives to drive innovation and maintain the competitive edge of our inference technologies. Infrastructure Development: Collaborate with partner teams to build and maintain scalable, multi-replica serving infrastructure. Ensure the reliability and scalability of LLM serving systems to handle increasing workloads. Qualifications: Technical Skills: Proficiency in systems programming languages such as C++. Strong experience with machine learning frameworks, particularly PyTorch. Expertise in GPU programming and CUDA for performance optimization. Solid understanding of AI/ML concepts, especially related to large language models. Experience: Proven experience in developing and optimizing ML/LLM inference systems. Demonstrated ability to integrate research advancements into production systems. Experience with performance tuning and profiling across various technology stacks. Experience with vLLM

Software Infrastructure Engineer - AI Startup (Series B, $2B Valuation) I'm partnering with an AI startup in Downtown SF that just closed a Series B at a $2B valuation. The founders are from top universities, recognized with prestigious awards, and known for 0→1 product development. They're building a brilliant, high-caliber team and need Software Infrastructure Engineers excited to shape the future of recruitment technology. Role Highlights: Design and maintain scalable, highly available infrastructure for AI-driven products. Build robust CI/CD pipelines, ensuring efficient code deployment and automated testing. Own cloud architecture (AWS/GCP/Azure), optimizing cost, security, and reliability. Collaborate closely with a small team of top-notch engineers where your input directly influences product decisions. What You'll Get: Quarterly Bonus: 20-40% (performance-based). Generous Equity to be part of the next AI success story (potential for 7 figures). Onsite Meals covered in a modern Downtown SF office. Equinox Membership for work-life balance. Who You Are: Strong experience in building and managing infrastructure (Docker, Kubernetes, Terraform, etc.). Proficiency with cloud services (AWS, GCP, or Azure) and CI/CD best practices. Comfortable moving fast, iterating quickly, and solving complex challenges in distributed systems. Driven by innovation, ownership, and working on cutting-edge AI that redefines recruiting.

Create is a generative AI first builder that lets individuals and businesses build sites and apps with just English. Our mission is to give everyone the power of software creation. We're a small team in San Francisco backed by top VCs. Who you are: Ship every day: You launch frequently. You know how to descope to get tangible results fast. Owner: You can go from ambiguous problem to solve, autonomously. You're relentless and you never say “not my job”. Fearless: You take on things you don't know how to do. You do things that are uncomfortable for others. High taste: You're right a lot. You have strong judgment, and your first pass is often very good. You're open to feedback and synthesize it in your next iteration. Resilient: When bad news hits, you say “good”. You don't easily give up. Customer obsessed: You base your insights on real conversations with customers. You do what it takes to make them succeed. What you will do: We're hiring a senior engineer to push forward what's possible with large language models (LLMs). You'll be working on the cutting edge of AI and at the intersection of web development, infra, and model advancement. Must haves: Full stack production experience with Typescript You've used create.xyz and have insights on where to take it next as a future owner Demonstrated skill in product building or AI (e.g. you've built impressive things before, either at work or on your own) Able to work full time onsite in San Francisco What's in it for you: 🥳 Energizing in-person culture 💸 Competitive salary 🥧 Generous equity 🏝️ Unlimited PTO 🏥 Medical, dental, and vision insurance 🧓 401k retirement plan 🚀 Accelerated growth trajectory 💪 Radical autonomy

SquareX is a leading cybersecurity company that focuses on providing robust protection to users while ensuring their productivity remains unhampered. Our mission is to secure the internet for everyone, making our services invaluable to clients worldwide. We are looking for a dedicated and motivated Software Engineer to join our engineering team and contribute to developing innovative product features. Responsibilities: Build backend systems and services to enable features and solve problems for highly scalable and technically advanced products. Scaling the backend infrastructure to multiple cloud service providers for high availability. Building sub-millisecond APIs for highly responsive application features. Apply problem-solving skills to come up with innovative solutions to complex problems such as improving the efficiency, reliability, and performance of the systems. Constantly try to push the bar for the systems being built, in terms of scalability, reliability, and performance. Be thoroughly hands-on, write and review code, and come up with design and architecture solutions. Practice great engineering practices, including writing test cases, CI/CD processes for deployments, and end-to-end ownership of everything you develop. Support engineering operations, including being on-call for production support and helping in debugging and troubleshooting when necessary. Collaborate effectively with the rest of the team, while being a good communicator (both verbal and written). Document and share important aspects of all engineering decisions being made. Qualifications: Must have strong engineering skills and foundations, including problem-solving, coding, and debugging Must have strong programming skills in Python and familiarity with Decorators, Metaclases, and Context Managers. Must have strong programming skills in Go, familiarity with cgo interfacing, and how to use Channel Patterns (Fan-in, Fan-out, Pipeline) for managing concurrency. Must have experience in building highly scalable and modular REST APIs and WebSocket interfaces with support over HTTP/2 and HTTP/3. Must have experience building Browser extensions for Chrome and Firefox. Must have experience building optimized Go-based web assembly modules for browser extensions. Must have expertise in architecting database schema and index management for highly scalable API infrastructure. Must have experience in building custom ETL solutions with Postgres using foreign data wrapper extension Must have experience with document conversion projects such as Gotenberg. Must have experience in building multi-layer in-memory cache in load-balanced VMs. Must have experience in writing highly optimized SQL Queries for transforming multi-table data into a single table by leveraging recursive CTEs, Pivot operations, and window functions. Must have experience building analytics dashboards for backend monitoring on Grafana. Must have 2+ years of experience with managing identities, organizations, and resources on AWS. Must have an understanding of the permission model, resource management, and how to maintain PoLP on AWS, Google Cloud Platform, and Azure. Must have expertise in writing Infrastructure as Code with popular IaaS frameworks such as Terraform for cross-account deployments. Must have experience in setting up CI/CD with GitHub Actions and AWS CodeDeploy. Must have experience with workflow orchestration software such as Luigi or Apache Airflow Must have familiarity with Linux at the systems level and familiarity with concepts such as namespaces, cgroups, and pivot roots. Must have an understanding of how to harden Linux servers across distributions such as Debian, Ubuntu, Fedora, CoreOS, and Amazon Linux. Must have extensive knowledge of container, and container orchestration platforms, networking, load balancers, observability tools, and understanding of systems metrics. Must have familiarity with container security and advanced security features such as seccomp and apparmor. Must know about cloud security, web application security, and OWASP Top 10. Must have a bachelor's degree from a reputable university. Annual Salary Range (USD): $90,000 - $120,000 We thank all applicants for their interest, but only those selected for an interview will be contacted.

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 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 This role can be based in Mountain View, CA, San Francisco, CA, or Bellevue, WA. Join us to push the boundaries of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from recommendation models, large language models, to computer vision models. We optimize performance across algorithms, AI frameworks, data infra, compute software, and hardware to harness the power of our GPU fleet with thousands of latest GPU cards. The team also works closely with the open source community and has many open source committers (TensorFlow, Horovod, Ray, vLLM, Hugginface, DeepSpeed etc.) in the team. Additionally, this team focussed on technologies like LLMs, GNNs, Incremental Learning, Online Learning and Serving performance optimizations across billions of user queries Model Training Infrastructure: As an engineer on the AI Training Infra team, you will play a crucial role in building the next-gen training infrastructure to power AI use cases. You will design and implement high performance data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, enable distributed training over 100s of billions of parameter models, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, tensor parallelism, Zero++ etc. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention. PyTorch Lightning and more and more. Feature Engineering: this team shapes the future of AI with the state-of-the-art Feature Platform, which empowers AI Users to effortlessly create, compute, store, consume, monitor, and govern features within online, offline, and nearline environments, optimizing the process for model training and serving. As an engineer in the team, you will explore and innovate within the online, offline, and nearline spaces at scale (millions of QPS, multi terabytes of data, etc), developing and refining the infrastructure necessary to transform raw data into valuable feature insights. Utilizing leading open-source technologies like Spark, Beam, and Flink and more, you will play a crucial role in processing and structuring feature data, ensuring its most optimal storage in the Feature Store, and serving feature data with high performance. Model Serving Infrastructure: this team builds low latency high performance applications serving very large & complex models across LLM and Personalization models. As an engineer, you will build compute efficient infra on top of native cloud, enable GPU based inference for a large variety of use cases, cuda level optimizations for high performance, enable on-device and online training. Challenges include scale (10s of thousands of QPS, multiple terabytes of data, billions of model parameters), agility (experiment with hundreds of new ML models per quarter using thousands of features), and enabling GPU inference at scale. ML Ops: The MLOps and Experimentation team is responsible for the infrastructure that runs MLOps and experimentation systems across LinkedIn. From Ramping to Observability, this org powers the AI products that define LinkedIn. This team, inside MLOps, is responsible for AI Metadata, Observability, Orchestration, Ramping and Experimentation for all models; building tools that enable our product and infrastructure engineers to optimize their models and deliver the best performance possible. As a Senior Software Engineer, you will have first-hand opportunities to advance one of the most scalable AI platforms in the world. At the same time, you will work together with our talented teams of researchers and engineers to build your career and your personal brand in the AI industry. Responsibilities -Designing, implementing, and optimizing the performance of large-scale distributed serving or training for personalized recommendation as well as large language models. -Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance. -Mentoring other engineers, defining our challenging technical culture, and helping to build a fast-growing team. -Working closely with the open-source community to participate and influence cutting edge open-source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.). Basic Qualifications: -Bachelor's Degree in Computer Science or related technical discipline, or equivalent practical experience -2+ years of experience in the industry with leading/ building deep learning systems. -2+ years of experience with Java, C++, Python, Go, Rust, C# and/or Functional languages such as Scala or other relevant coding languages -Hands-on experience developing distributed systems or other large-scale systems. Preferred Qualifications: -BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience -Previous experience working with geographically distributed co-workers. -Outstanding interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SRE/SWE Engineers, ---Project Managers, etc. -Experience building ML applications, LLM serving, GPU serving. -Experience with distributed data processing engines like Flink, Beam, Spark etc., feature engineering, -Experience with search systems or similar large-scale distributed systems -Expertise in machine learning infrastructure, including technologies like MLFlow, Kubeflow and large scale distributed systems -Co-author or maintainer of any open-source projects -Familiarity with containers and container orchestration systems -Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX Suggested Skills: -ML Algorithm Development -Experience in Machine Learning and Deep Learning -Experience in Information retrieval / recommendation systems / distributed serving / Big Data is a plus. 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 $128,000 - $210,000. 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 additional information, visit: ************************************* Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. 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About the Company Curve Biosciences™ (“Curve”) is creating AI-driven insights into biology for ~130 million patients with chronic disease. Our Whole Body Atlas, the largest tissue database in the world, uniquely enables the company to deliver these precise biological insights and complement other clinical tools. Led by a team with decades of biotech experience and multiple successful exits, Curve is focusing on chronic liver care with the vision to rapidly expand to other chronic diseases. We are seeking a skilled LIMS software engineer to enable impactful molecular diagnostics tests by leading the design, development, and implementation of cutting-edge software solutions for our automated laboratory systems and data analytics pipelines. This role will work with another Software Engineer and the CTO. You'll also collaborate with cross-functional teams, including laboratory scientists, automation engineers, and clinical operations personnel. This role is expected to make a significant hands-on contribution and have high-level design responsibilities related to software integration with automation in a clinical diagnostic setting. Level, compensation, and responsibilities will be based on the applicant's experience. Responsibilities Key responsibilities are included below: Work collaboratively with R&D, Automation, and Clinical Operations stakeholders to design, build, test, and deploy software solutions in a clinical diagnostic laboratory with consideration for regulatory standards (CLIA). Contribute to both the backend (Django/PostgreSQL) and frontend (Vue.js) stack of a custom LIMS web application. Lead efforts to facilitate automation by integrating robotic instruments with LIMS web application, with the long-term goal of scheduling & instructing stacks of robotic instruments. Build drivers to transfer local data and equipment logs to the LIMS web application. Build features that enable tracking of samples, reagents, and associated metadata in clinical operations and wetlab processing workflows within the LIMS web application. Build reports that will be used to monitor sample progress & performance by navigating & querying relational databases (Django/PostgreSQL). Design user interface elements on the frontend to streamline user experience. Ensure robustness, scalability, and reliability of software through rigorous testing, coding best practices, & CI/CD (git/GitHub). This role will work collaboratively with stakeholders to understand software needs, and the ideal candidate is capable & comfortable working independently as a software engineer on the design, build, and maintenance of these software solutions. Job Skills and Qualifications Bachelors or Advanced Degree in Computer Science, Software Engineering, Computational Biology, or a related field. Preferred 4+ years of relevant experience in either Academia or Industry Experience in designing, building, testing, and deploying software solutions to aid in sample tracking and automation. Demonstrated expertise in Python, and familiar with Javascript frameworks (ie. Vue.js, React, or similar). Experience using git/GitHub. Experience with writing automation & wetlab related software, such as barcode printing, robot worklists, LIMS, or workflow logging. Experience with web applications. Experience with designing software within regulatory standards, &/or experience with keeping meticulous logs & documentation. Demonstrate problem-solving skills to address challenges and rapidly changing workflows that arise during studies. Excellent communication and intrapersonal skills; able to understand team and stakeholder needs. Proven ability to drive software solutions independently. Experience in cultivating a collaborative environment that encourages open communication, teamwork, adaptability and innovative thinking. Motivated to join an early-stage start-up and contribute to infrastructure design & development. Preferred Previous exposure to LIMS, wet lab research, or clinical operations facilities. Experience with Hamiltons, Kingfishers, or sequencing library prep workflows. Experience with developing a web application using Django to manage a postgre SQL database. Experience scaling software from a small R&D setting to a high-production, CLIA lab. Experience at a start-up company. Able to come into the office 3 days a week. The office is located in San Mateo, CA. Employee Benefits Curve Biosciences is dedicated to improving our patients' lives and supporting our employees' dreams. Some of our employee benefits include: Annual base cash salary range: $110,000-$136,000 (doesn't include annual cash bonus) Early-stage equity with significant upside potential Flexible PTO Comprehensive health coverage, including medical, dental, and vision 401(k) plan Training and support from successful leadership (past companies' total value: $30B+) Beautiful top-story lab space in San Mateo with state-of-the-art equipment and people Office space with daily lunches, snacks, and drinks Gym on-site Curve Biosciences is an equal opportunity employer. We highly value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, age, sexual orientation, marital status, veteran status or disability status.

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. Take on an exciting opportunity with Lonza, a global leader in life sciences, and contribute to our outstanding team as a Senior Engineer in Utilities. This role is crafted to support our ambitious growth and ongoing success at our Vacaville, CA site. Join us in driving world-class technical solutions and ensuring flawless operations in plant utilities. Key responsibilities: Identify, analyze, and design improvements for facility, utility, process, and other utilities equipment. Provide technical support for all site utility systems, including water pretreatment, plant and process drains, water for injection, and clean steam systems. Ensure uninterrupted quality supply of pharmaceuticals through technical support and compliance. Develop and maintain engineering documentation such as P&IDs, design drawings, and specifications. Support project documentation development and review, including schedules, budgets, URS, PEP, RFQs, and Contractor Bid Packages. Drive and manage planning and design phases, including project initiation and detailed design. Conduct daily process monitoring and analysis, and support discrepancy investigations. Coordinate construction phases, managing contractors and ensuring successful project completion. Resolve emergent issues on a 24/7 basis, including weekends and holidays if necessary. Collaborate with Global Engineering on major projects. Continuously improve technical infrastructure, standards, practices, and procedures. Lead identification and implementation of process performance improvements. Provide technical mentorship to utility operations technicians. Provide SME support during plant audits. Provide guidance for 'like for like' or similar parts of obsolete parts and guidance to maintenance during critical repairs. Key requirements: BS Engineering degree from an accredited university. Electrical, mechanical, or chemical engineering or equivalent degree is preferred. Strong understanding and demonstrated ability with engineering principles and techniques. Knowledge of FDA and EMA regulations, cGMPs, building codes, and related standards. Proficiency in ISA standards and practices for instrumentation. Knowledge of calibration theories and techniques. Understanding of project lifecycle including initiation, design, construction, and commissioning/validation. Effective communication and interpersonal skills with technical, operations, maintenance, quality, and senior management personnel. We recognize that attracting, developing and retaining the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure that we are able to attract the best candidates. As required by law in this state, the quoted salary range for this position is $129,000-$219,000. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities; while also allowing for differentiation on performance based on the breadth of our ranges, most new hires will start at the company between the lower and the middle part of the applicable range. We tailor our offers within the range based on job-related factors, including organizational needs, internal equity, market data, geographic area and the selected candidate's experience, education, industry knowledge, location, technical and/or communication skills and other factors that may prove relevant during the selection process. This range is only inclusive of base salary, and base pay is just one component of Lonza's total compensation package for employees. Full-time employees are eligible to receive a performance-related bonus, as well as a comprehensive benefits package including medical and dental coverage, 401k plan, life insurance, short-term and long-term disability insurance, an employee assistance program, paid time off (PTO), and more. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference. Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.

Headline: Founding Engineer (AI Automation & Knowledge Graph) - SF Based, Open Source Focus - Up to $230K DOE About Our Client: Our client, a rapidly scaling Y Combinator startup, is revolutionizing financial compliance with advanced AI agents. They've already achieved an 87% reduction in manual reviews, automating processes within a $30 billion industry. Their vision extends to building a comprehensive global risk network, setting the stage for advancements in identity verification. Join their team in San Francisco to shape this transformative technology. Why Join Our Client: Significant Impact: Directly contribute to solving a major industry challenge with cutting-edge AI. Founding Role: Be the first founding engineer, playing a crucial role in shaping the company's technical direction. High-Growth Environment: Thrive in a fast-paced, YC-backed startup with ambitious goals. Expert Team: Collaborate with experienced entrepreneurs with proven track records. San Francisco Hub: Work in person in the heart of the SF tech ecosystem. The Role: Lead the development of their core AI technologies, focusing on: Building a Generalizable AI Automation Agent to streamline complex workflows. Constructing a Global Knowledge Graph to identify and mitigate risk. Responsibilities: Design, develop, and deploy scalable machine learning systems using Python, LLMs, VLMs, and traditional ML. Lead the development of key projects, from concept to production on AWS. Architect and implement robust data pipelines and infrastructure. Collaborate closely with the founders to define technical strategy and product roadmap. What They're Looking For: Proven ability to write clean, scalable code and solve complex technical challenges. A client-focused approach, with a strong understanding of building solutions that address real-world needs. A proactive, self-starting attitude, with a drive to take ownership and deliver results. A collaborative mindset and a strong team player. Demonstrable experience contributing to open-source projects (active GitHub required). Ability to work in person at their San Francisco office. Open to all experience levels from fresh graduate to Senior/Staff Engineer. Tech Stack: Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning Django, Docker, PostgreSQL, AWS Compensation: Up to $230,000 DOE (Depending On Experience) Join Them: If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance.. Ability to work in person at their San Francisco office. Open to all experience levels from fresh graduate to Senior/Staff Engineer. Tech Stack: Python, Large Language Models (LLMs), Vision Language Models (VLMs), Traditional Machine Learning Django, Docker, PostgreSQL, AWS Compensation: Up to $230,000 DOE (Depending On Experience) Join Them: If you're a passionate engineer with a strong open-source background, eager to contribute to a groundbreaking AI startup in San Francisco, apply now to build the future of compliance.

Who We Are Here at Swish Robotics, we're bringing embodied intelligence into the home-starting with Bento, an AI-powered cooking robot that prepares fresh meals in under 20 minutes. Backed by top investors, we are assembling a world-class team to build intelligent consumer robots that transform everyday life. We're looking for a Founding Software Engineer to architect and develop the software stack that powers our robots. This is an opportunity to own the software foundation of a category-defining product, working alongside the founding team to take Bento from prototype to mass production. The Role As the Founding Software Engineer, you will lead the design and development of Bento's software stack, including its real-time control, embedded systems, and AI-driven user experience. You'll be responsible for core system architecture, companion app development, firmware development, cloud connectivity, and user interface integration-playing a pivotal role in shaping both the technical and strategic direction of Swish Robotics. What You'll Do - Own Embedded Systems Software Stack - Design and implement the system architecture for robot control, embedded computing, and cloud connectivity. - Develop Real-Time Control Systems - Write firmware to control motors, sensors, and actuators on ESP32 and Raspberry Pi 5. - Integrate AI & Computer Vision - Work with onboard AI models for object recognition, sensor fusion, and real-time decision-making. - Build a Dynamic UI & User Experience - Develop a custom UI for the robot using PyQt5 and manage app-to-robot communication. - Optimize Performance & Reliability - Ensure the system is fast, responsive, and robust, even in constrained environments. - Cloud & IoT Integration - Enable remote monitoring, OTA updates, and real-time feedback from the Bento robot. - Establish Best Practices - Define coding standards, DevOps pipelines, and system monitoring tools for long-term scalability. Who You Are Required Qualifications: - Experience in software engineering, embedded systems, or robotics. - Expertise in Python, C++, or Rust for real-time and embedded applications. - Experience developing software for robotics, automation, or real-time control systems. - Familiarity with hardware communication protocols (UART, SPI, I2C, gRPC, MQTT, WebSockets). - Experience with Linux-based embedded systems (Raspberry Pi, Jetson, etc.). - Ability to architect full-stack solutions integrating firmware, edge computing, and cloud services. - Passionate about building consumer hardware and making robotics accessible to everyday users. Bonus: - Experience with computer vision, speech recognition, or reinforcement learning - Solid foundation in AWS (EC2, Lambda, S3, IoT Core, etc.) Why Join Us? Build Something Revolutionary - Be at the forefront of consumer robotics and embodied AI. High Ownership & Impact - Your work will directly shape the future of Swish. Equity - Meaningful equity in one of the fastest-growing robotics companies. First 5 Employees - Help define the culture, vision, and technical foundation of our company. Fast Execution - We move quickly, break things, and learn fast. It's a Grind (But Worth It) - We're building ambitious hardware, which means long hours, high standards, and constant problem-solving. It's not easy-but if you're wired for this, there's nowhere more exciting to be.

Create is a generative AI first builder that lets individuals and businesses build sites and apps with just English. Our mission is to give everyone the power of software creation. We're a small team in San Francisco backed by top VCs. Who you are: Ship every day: You launch frequently. You know how to descope to get tangible results fast. Owner: You can go from ambiguous problem to solve, autonomously. You're relentless and you never say “not my job”. Fearless: You take on things you don't know how to do. You do things that are uncomfortable for others. High taste: You're right a lot. You have strong judgment, and your first pass is often very good. You're open to feedback and synthesize it in your next iteration. Resilient: When bad news hits, you say “good”. You don't easily give up. Customer obsessed: You base your insights on real conversations with customers. You do what it takes to make them succeed. What you will do: We're hiring an engineer to push forward what's possible with large language models (LLMs). You'll be working on the cutting edge of AI and at the intersection of web development, infra, and model advancement. Must haves: Full stack production experience with Typescript You've used create.xyz and have insights on where to take it next as a future owner Demonstrated skill in product building or AI (e.g. you've built impressive things before, either at work or on your own) Able to work full time onsite in San Francisco What's in it for you: 🥳 Energizing in-person culture 💸 Competitive salary 🥧 Generous equity 🏝️ Unlimited PTO 🏥 Medical, dental, and vision insurance 🧓 401k retirement plan 🚀 Accelerated growth trajectory 💪 Radical autonomy

We are searching for a Founding Software Engineer to join a profit-generating YC team building enterprise-grade AI workers, enabling businesses to automate complex workflows and shift entire workloads from humans to AI! 🔹 Built on cutting-edge AI agent tech (developed at a top research university) 🔹 $XM+ ARR in 1 year, scaling fast 🔹 Customers from SMBs to Fortune 50s 🔹 Backed by top VCs & founders of leading tech companies 💡 Your Role: Work closely with the CEO & founding team to build and scale AI-first infrastructure Ship new features, iterate on customer feedback, and shape company culture Solve hard engineering problems in AI, cloud infra & real-time systems ✅ You should apply if you: Love tough problems & fast-paced environments Have 2+ years of software engineering experience (TypeScript, Python, LLMs) Are in SF (or willing to relocate)

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Technology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community. 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. Job Description As a Distinguished Engineer in the LinkedIn Marketing Solutions team (LMS), you will lead technology vision and development for the largest B2B Advertising Network in the world. You will help us define the technology vision for the AI-first transformation of not only the ads products, but the ads stack as well. You will partner with engineering leaders across LinkedIn, to drive the core technical agenda for the organization. You will build advertising platforms and products that impact the lives of over 1 Billion+ members and hundreds of thousands of advertising customers around the world. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems. LinkedIn Marketing Solutions is the largest and fastest growing scaled B2B Advertising Platform in the world. Some of the things that this team works on: Ad Serving Platform, Tracking Platform, Audiences and Targeting Platform, Marketing Identity Platform. Measurements and Analytics platforms like Customer Data Platform, Engagement Data Platform, Reporting Platform, and DMP Integrations. Analytics products like Website Analytics, Audience Engagement, Sales Impact, etc. Full funnel of advertising like Brand, Consideration, and Performance Advertising consisting of products like Sponsored Messaging, Video/Image/Text Ads, Document Ads, CTV Ads, etc. Demand Platforms and Experiences like Campaign Manager, Business Manager, and API Partner Ecosystem. Advertiser Demand Growth, Advertiser Comms, and Data Foundations. AI, Generative AI, and big data. LinkedIn Audience Network for off-site inventory of our vast network of publishers and partner exchanges. Responsibilities: Possess a strong understanding of the advertising industry and its trends and provide domain expertise to the team. Help define business strategy and technical strategy and drive alignment cross functionally. Head cross team/cross functional discussions and drive alignment on product/technology strategy. Help build highly scalable systems and applications to enable the organization to achieve its goals. Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. Establish a culture that values diverse viewpoints while navigating complex decisions. Qualifications: Basic Qualifications 10+ years of software development experience 4+ years experience in large distributed systems B.A./B.S. degree in Computer Science or related field Preferred Qualifications Masters degree or higher in Computer Science or related field. Relevant advertising industry experience. Experience of technical leadership guiding and mentoring top engineering and operations talent. Excellent verbal and written communication skills. Suggested Skills: * AI/ML expertise * Technical Leadership * Ads domain expertise LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $238,000 to $390,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock and benefits. For additional 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: ***************************************

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. Take on an exciting opportunity with Lonza, a global leader in life sciences, and contribute to our outstanding team as a Senior Engineer in Utilities. This role is crafted to support our ambitious growth and ongoing success at our Vacaville, CA site. Join us in driving world-class technical solutions and ensuring flawless operations in plant utilities. Key responsibilities: Identify, analyze, and design improvements for facility, utility, process, and other utilities equipment. Provide technical support for all site utility systems, including water pretreatment, plant and process drains, water for injection, and clean steam systems. Ensure uninterrupted quality supply of pharmaceuticals through technical support and compliance. Develop and maintain engineering documentation such as P&IDs, design drawings, and specifications. Support project documentation development and review, including schedules, budgets, URS, PEP, RFQs, and Contractor Bid Packages. Drive and manage planning and design phases, including project initiation and detailed design. Conduct daily process monitoring and analysis, and support discrepancy investigations. Coordinate construction phases, managing contractors and ensuring successful project completion. Resolve emergent issues on a 24/7 basis, including weekends and holidays if necessary. Collaborate with Global Engineering on major projects. Continuously improve technical infrastructure, standards, practices, and procedures. Lead identification and implementation of process performance improvements. Provide technical mentorship to utility operations technicians. Provide SME support during plant audits. Provide guidance for 'like for like' or similar parts of obsolete parts and guidance to maintenance during critical repairs. Key requirements: BS Engineering degree from an accredited university. Electrical, mechanical, or chemical engineering or equivalent degree is preferred. Strong understanding and demonstrated ability with engineering principles and techniques. Knowledge of FDA and EMA regulations, cGMPs, building codes, and related standards. Proficiency in ISA standards and practices for instrumentation. Knowledge of calibration theories and techniques. Understanding of project lifecycle including initiation, design, construction, and commissioning/validation. Effective communication and interpersonal skills with technical, operations, maintenance, quality, and senior management personnel. We recognize that attracting, developing and retaining the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure that we are able to attract the best candidates. As required by law in this state, the quoted salary range for this position is $129,000-$219,000. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities; while also allowing for differentiation on performance based on the breadth of our ranges, most new hires will start at the company between the lower and the middle part of the applicable range. We tailor our offers within the range based on job-related factors, including organizational needs, internal equity, market data, geographic area and the selected candidate's experience, education, industry knowledge, location, technical and/or communication skills and other factors that may prove relevant during the selection process. This range is only inclusive of base salary, and base pay is just one component of Lonza's total compensation package for employees. Full-time employees are eligible to receive a performance-related bonus, as well as a comprehensive benefits package including medical and dental coverage, 401k plan, life insurance, short-term and long-term disability insurance, an employee assistance program, paid time off (PTO), and more. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference. Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.