Engineer Jobs in Napa, CA

Senior AI&T Engineer $130,000 - $190,000 Full-time - On-site Burlingame, CA Our client is developing a next-generation navigation satellite network designed to enable precision technologies such as robotic farming and hands-free driving at a global scale. Their patented PULSAR network simplifies the complexity required to achieve robust, centimeter-level accuracy, making precision navigation accessible and affordable for industries that rely on automation and autonomy. Position Summary: The Senior Assembly, Integration & Test (AI&T) Engineer will be responsible for leading and executing all testing required for the deployment of the PULSAR satellite constellation. This role includes full ownership over production capabilities, ensuring the efficient verification and validation (V&V) of Xona payloads. The Senior AI&T Engineer will also provide strategic oversight for integration planning and operations on the production floor, working closely with engineering, manufacturing, and quality assurance teams to maintain high standards of reliability and performance. This is a hands-on leadership role requiring expertise in environmental testing, integration processes, and manufacturing execution. The ideal candidate will drive improvements in testing methodologies, implement best practices for assembly and integration, and oversee critical test campaigns. Primary Duties and Responsibilities: Lead and manage all aspects of payload assembly, integration, and test activities. Develop and execute test plans, procedures, and analysis for environmental testing, including thermal, vibration, shock, EMI/EMC, and acoustic testing. Establish and refine production capabilities to ensure the efficient delivery of satellite payloads. Provide strategic oversight for integration planning and operations on the production floor. Develop and implement processes, test assets, and tooling for new and existing hardware. Contribute to design reviews, ensuring testability and manufacturability considerations are integrated. Support critical testing campaigns, including potential travel and availability for 24/7 operations when required. Ensure compliance with safety, quality, and manufacturing standards. Minimum Qualifications: Bachelor's degree in Engineering (Electrical, Mechanical, Aerospace, or equivalent) and 5+ years of relevant experience. Strong teamwork, professionalism, and adherence to safety and quality standards. Excellent problem-solving, troubleshooting, and attention to detail. Experience with thermal, vibration, shock, EMI/EMC, and acoustic testing. Proficiency in writing test plans, procedures, and analyzing test data. Ability to develop processes, test assets, and tooling for both new and existing hardware. Strong communication skills, both written and oral. Ability to support critical testing campaigns, including travel and 24/7 availability as needed. Desired Qualifications: Experience with Manufacturing Execution Systems (MES). Experience with Design for Manufacturability (DFM) and Design for Assembly (DFA). Familiarity with structured Quality Management Systems (ISO 9001, AS9100). Strong understanding of Lean Manufacturing fundamentals. Experience with process capability, process variance, and six sigma tools. Experience integrating automation within a digital factory framework. Direct management experience overseeing engineers, specialists, and/or technicians. Experience with spaceflight components and spacecraft environmental testing. This is an exciting opportunity to lead testing and integration efforts for cutting-edge satellite navigation technology, shaping the future of precision guidance systems.

Sr. Electro Mechanical Engineer San Francisco Bay Area, CA - Onsite eVTOL Aircraft $150k - $190k About the job Brightsmith are partnered with a brilliant Electric Vertical Take-Off & Landing (eVTOL) aircraft manufacturer on several key hires as they continue to get ready for market entry. They are looking to add to their Engineering team by finding a Sr. Electro Mechanical Engineer who can serve as their go-to-expert across design, integration and development of their state of the art eVTOL Aircraft. Responsibilities Lead the end-to-end design, development, and integration of the vehicle's electrical harness, ensuring optimal performance, weight efficiency, and compliance with industry and regulatory standards whilst also playing a key role in designing structural integrity and advanced thermal management solutions Conduct feasibility studies and detailed analyses, including electrical system performance, thermal modeling, and stress analysis for enclosures Collaborate with suppliers and manufacturing partners to define specifications, source components, and oversee production processes, ensuring high quality and timely delivery Utilize CAD and simulation tools in creating detailed designs and drawings and continue to validate system performance Support all validation and system-level testing along with analyzing additional test data to optimize performance, durability, and safety Develop and refine design standards, best practices, and documentation for harness and enclosure development, ensuring efficient processes across the organization Qualifications 5+ years of experience working directly in Electrical harness & enclosure design, preference on the aerospace or automotive industry Bachelor's or Advanced degree within Mechanical Engineering, Electrical Engineering, or a related field Strong Proficiency in CATIA as well as enclosure design tools and other simulation tools such as ANSYS or similar software Expertise in electrical routing and electrical systems, thermal management techniques, and all materials required for enclosures and harnesses Excellent problem-solving skills, with a demonstrated ability to develop innovative solutions under tight constraints Why Apply Join a fast-growing, collaborative organization working on state-of-the-art technology Excellent opportunities for growth, learning and development A comprehensive benefits package, including medical, dental, vision & 401k plans If you're interested in applying, please click the 'easy apply' button. Alternatively, feel free to send your resume to *******************************.

Photonic Test & Validation Engineer | $180K+ Based on Experience | Bay Area Are you an experienced engineer with a strong background in photonic systems validation? Do you have expertise in debugging, corner case analysis, and performance optimization? If so, this opportunity is for you! About the Role We are seeking a Photonic Test & Validation Engineer to lead testing and validation efforts for advanced photonic technologies. In this role, you will develop and execute rigorous validation methodologies, analyze system performance, and collaborate with multidisciplinary teams to enhance reliability and functionality. Responsibilities Design and execute engineering validation and design validation testing for photonic systems and components. Develop and implement detailed test plans and methodologies to assess system performance. Conduct corner case studies to evaluate system behavior under extreme conditions. Debug issues at both module and component levels, ensuring optimal functionality. Utilize advanced optical test equipment, including optical spectrum analyzers, real-time oscilloscopes, and power meters. Apply data analysis and statistical visualization techniques to extract actionable insights. Collaborate with cross-functional teams to integrate testing and validation into the development process. Continuously improve testing protocols and validation strategies. Experience & Skills Required Master's degree in Optical Engineering, Electrical Engineering, or a related field with at least 5 years of industry experience, OR a Ph.D. with at least 2 years of industry experience. Expertise in photonic components and systems, including lasers, semiconductor optical amplifiers (SOAs), optical splitters, optical filters, and photodetectors. Strong proficiency in optical test equipment such as optical spectrum analyzers, real-time oscilloscopes, and power meters. Experience developing and implementing robust validation methodologies and corner case studies. Strong analytical and problem-solving skills for troubleshooting complex issues. Excellent communication and teamwork skills to work effectively in a multidisciplinary environment. Preferred Qualifications Experience with data analysis and visualization tools for performance evaluation. Familiarity with automated testing frameworks or scripting for test process optimization. Knowledge of reliability testing and lifetime performance evaluation for photonic systems. What's in It for You? Competitive salary based on experience, starting at $180K. Comprehensive benefits package, including medical, dental, and Vision Insurance. Paid time off, including vacation, sick leave, and holidays. This role offers the chance to make a significant impact in the field of photonics while working alongside a team of industry experts. If you're ready to take on new challenges and contribute to groundbreaking innovations, we'd love to hear from you!

We are partnered with a high-growth startup that's redefining the future of productivity-taking on giants like Notion, Linear, and Airtable. Backed by over $25M in funding led by OpenAI ventures, this team is building the next generation of tools to augment human intelligence. They're looking for a Staff Backend Engineer to take the lead on backend architecture, infrastructure, and sync systems, helping bring AI-powered experiences to life. This is a unique opportunity to work directly with the CEO and founding team to shape the core product, infrastructure, and backend strategy in a fast-moving, highly creative environment. Also open to exceptional mid and senior engineers (backend or full stack) Remote but we work on PST hrs What You'll Do • Collaborate with the CEO, Founding Engineer, and Lead UX Designer to architect backend systems that enable intelligent, context-aware user experiences. • Lead the design and implementation of core infrastructure and local-first sync systems. • Develop backend services for rich, collaborative features powered by large language models. • Solve complex backend challenges-collaborative editing, real-time recommendation, data ingestion, and AI-driven indexing and discovery. • Improve observability and monitoring to ensure reliability and scalability. • Define and champion engineering best practices across the backend organization. You Might Be a Great Fit If You: • Are impact-driven, opinionated, and thrive in ambiguous environments. • Have led architecture across complex projects and teams. • Have scaled infrastructure in production environments. • Bring a systems-thinking mindset and enjoy tackling deeply technical challenges. • Have a strong sense of ownership and enjoy working from first principles. • Prior founder or startup experience is a big plus. Tech Stack • Backend: Django, Python, OpenAPI • Data: Postgres, Redis, Elasticsearch, Pinecone, Apache Beam, Cohere, OpenAI • Infra: Google Cloud Platform, Cloud Run, PubSub, Temporal, Terraform, GitHub Actions, Docker • Collaboration: TipTap (ProseMirror) with Yjs for rich text editing • Monitoring: Datadog Perks & Benefits • High-impact, greenfield work on the frontier of AI and productivity • Competitive salary and equity • Fully remote (US-based), with no required office time • 21 days of paid vacation • Regular company-sponsored retreats, events, and team meals • Comprehensive health coverage - medical, dental, vision, and mental health • Monthly wellness and AI tool stipends • Top-of-the-line equipment: M1 MacBook Pro, 4K display, and more • Family-first policies: 16 weeks of paid family leave, plus support for IVF, egg freezing, adoption, and childcare

The Company Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI's biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. The Job The next decade of technology growth will be driven by AI and robotics. Do you want to join in the excitement, opportunities and rewards that will come? Do you want to be part of a young company at the forefront? If you do, know that it will be hard work, if you are up for it, then this might be the job for you. The role starts early in our process with prospective customers to understand their current manufacturing processes, their challenges and goals; to understand their manufacturing operations as well as they do. Based on this knowledge the Application Engineer's role is to find ways to solve and improve their operations. This requires a deep technical and operational of both the Chef Robotics Systems and the customers operations. The role includes engagement with the customers engineers and manufacturing leaders to create a models of how the Chef Robotics' System would be built into the customer manufacturing line, using these models to build an ROI case by quantifying the manufacturing process improvements that the robots can achieve creating the documents and sales presentations that shows the customer the benefits Essential duties and responsibilities include: Lead the in-field deployment of Chef Systems at customer sites through Site Acceptance Test. Collaborate with Engineering and Project Management to prioritize and collect customer feature requests and requirements Work with Sales and Business Development to help close a customer addressing customer feature requests, questions, technical risks, and overall get buy-in from a technology perspective. Once the system is deployed- help lead customer success for that stakeholder so that they have a wonderful experience and buy more robots. Preparing and developing technical presentations to explain our company's products or services to customers. Discussing equipment needs and system requirements with customers and engineers. Collaborating with sales teams to understand customer requirements and provide sales support. Researching, developing and modifying products to meet customers' technical requirements and needs. Identifying areas for improvement and communicating these issues as well as possible solutions to upper management. Training other members of the sales team on the technical aspects of the company's products and services. You You are passionate about robotics, manufacturing automation, and working with customers. You have a strong track record of successful engagements with customers from pre-sales engineering through deployment. You know how to manage your time, are self-driven, capable of figuring out what needs to be done, scheduling, and executing to customer needs. You know how to deal with difficult situations when customers are not satisfied, when your company or product is challenged, you know how to manage the customer expectations and drive your company's organization to drive product or operational improvements. You may be a recent college grad with a BS or preferably an MS, in Computer Science, Robotics, Electrical Engineering or Mechanical Engineering Experience in a manufacturing environment is preferred or you should have the passion to learn the customers business, build domain knowledge to understand our customers' goals and operations. Since we have customers across the US and Canada this job requires up to 50% travel. And since you would be the face of the company dealing directly with customers this position requires excellent communication necessary for developing and maintaining good internal and external relations. You should have excellent interpersonal communications skills with the ability to handle high stakes, high pressure customer interactions in a professional and engaging manner. You have these skills and characteristics: Recent college grads or BS or MS, in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field. Prior experience or desire to a career with at least one of the following areas: product engineering, applications engineering, solutions engineering, sales engineering, forward deployed engineering. Able to work independently and with minimal supervision. Familiar with Linux/Unix and or Robot Operating System (ROS). Recognize, communicate, and properly document product issues, complaints and improvements. Coordinate onsite schedule (yourself, vendor, other technicians, etc.) in alignment with customer expectations

We exclusively represent a global leader in semiconductor and advanced electronic design software company that is looking to expand its senior technical team. Their software tools enable companies worldwide to develop highly innovative electronic products faster and more cost-effectively. Their customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Our client seeks someone to help change the analog EM/IR industry. Circuits must pass EMIR and power integrity analysis at signoff to ensure they work in the field. However, today's tools are difficult to use and limited in capability. Our client's tool is changing that. Our client seeks a highly motivated technologist with the capability and desire to drive the development and deployment of this exciting new tool. This latest addition to our excellent team will work with the team to define, support and market transistor-level power analysis and reliability signoff. Enable customers to successfully analyze and eliminate transistor-level EM/IR issues Define and spec new features based on customer needs and product strategy Build tight customer relationships Partner with engineering to agree on specification details and test cases Manage customer and internal stakeholder expectations Job Qualifications The successful candidate will possess the following combination of education and experience: BS degree (or equivalent) in Electrical Engineering, Physics or a related field is required. MS degree is highly preferred. Should have 5 or more years of relevant experience in the semiconductor IC design or EDA industry Strong knowledge and experience in analog design, transistor-level IR/EM analysis, transistor-level simulation, parasitic extraction, and cell characterisation. Proven track record of handling fab collaterals (tech files, rule decks etc) Previous experience with product development is a requirement Must demonstrate script-programming skills with languages such as TCL, Perl, Python, shell, etc. Must be familiar with Unix/Linux operating systems Must demonstrate excellent analytical and problem-solving capabilities, and strong communication skills Ability to manage multiple projects simultaneously with cross-functional, distributed teams Ability to write comprehensive marketing or product requirement specifications in English. Proven teamwork skills Willingness to travel 25%

Do you have experience in building scalable, cloud-based systems from the ground up, then this is the role for you! As part of the Infrastructure Engineering team, you will design large-scale backend systems, implement scalable infrastructure to support large-scale Generative AI (GenAI) workloads, optimize systems for performance, and drive the development of GenAI infrastructure. Required Qualifications: Education Experience: Bachelor's degree in computer science, Computer Engineering, or relevant technical field, or equivalent practical experience. Professional Experience: A proven track record as a technical leader in developing scalable, maintainable, and high-performance cloud-native infrastructure. Hands-on involvement in the architecture, development, and deployment of reliable infrastructure. 8+ years of experience leading, mentoring, or managing software engineers. Core Technical Skills: Practical Expertise in one or more cloud platforms like AWS, Azure, or GCP including scaling with Docker and Kubernetes. Deep understanding of network architecture, protocols, and security best practices Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation Experience with containerization technologies like Docker, Kubernetes Familiarity with scripting languages like Python, Bash Experience with service mesh (Linkerd, Istio) and API gateways (Kong, Traefik) to enhance microservices deployment and management. Ability to tackle complex problems, make data-driven decisions, and apply best practices in secure software development. Preferred Qualifications: 10+ years of hands-on experience building and maintaining high performance scalable infrastructure Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in production environments. Proficiency in orchestration frameworks like Flyte, MLFlow or similar technologies for automating complex workflows

SF Law Firm is looking for an Enterprise Applications Engineer to join their dynamic IT team. In this position, you will play a key part in the implementation, support, and maintenance of enterprise systems and applications, ensuring efficiency, reliability, and security. Under the guidance of the Director of IT Systems and Engineering, you will proactively troubleshoot issues, optimize software deployment, and support endpoint management in alignment with security standards. Your analytical skills and problem-solving mindset will help drive user-focused solutions that keep our team productive and connected. Responsibilities and Duties: Provide support for the firm's line-of-business applications as well as Citrix, SQL and SCCM. Partner with team members and vendors to resolve issues efficiently while communicating resolutions clearly and professionally. Administer the lifecycle of applications, including packaging, updates, deployment, and retirement, keeping alignment with best practices. Maintain, update, and optimize images for all workstations and servers to ensure standards and reliability. Participate in monthly security patching and updates, ensuring all endpoints are compliant, up to date, and secure. Address out-of-band and emergency vulnerabilities as needed. Proactively monitor systems and applications to identify and address issues before they impact users, ensuring optimal performance and availability. Act as an escalation point for application-related issues, and helpdesk escalations, providing prompt resolutions, root cause analysis, and recommendations. Create and maintain detailed technical documentation, ensuring compliance with departmental policies, procedures, and change management protocols. After-Hours Support: Provide after-hours support during maintenance windows, projects, or emergencies as needed. Other duties as assigned. Required Skills, Abilities, and Qualifications 5+ years of progressive experience in an application support or a similar role, preferably within a law firm or professional services environment. Candidates with additional experience and advanced expertise may be considered for a senior-level position. Bachelor's degree in a relevant field or equivalent experience. Strong knowledge of Microsoft Endpoint Configuration Manager (MECM) for OS deployment, application management, and patch distribution. Proficiency in administering Citrix, Azure, Active Directory, and Group Policy. Knowledge of PowerShell or other scripting languages for task automation. Familiarity in administering firm applications such as iManage Work, Microsoft 365 suite, CAM, Litera Desktop Suite, Intune MDM, Zoom. Experience with SQL Server, including query writing and database management. Knowledge of ITIL practices and industry best standards. Exceptional problem-solving skills with a focus on delivering client-driven solutions. Effective communication skills with ability to explain technical concepts to both technical and non-technical audiences. Ability to balance attention to detail with managing competing priorities in a fast-paced environment. Flexible and adaptable, with the ability to provide support during after-hours when needed.

Job Title: Senior MLOps Engineer Salary: $180,000 -$220,000 + equity About the Role Our client is a fast-growing healthtech company is using generative AI to reimagine how healthcare handles its most complex operational challenges. With strong engineering leadership, a product that's already making waves, and backing from top-tier investors, they're building at scale and solving real problems that impact millions of patients and providers. As a Senior MLOps Engineer, you'll play a key role in bridging the gap between machine learning and production infrastructure. Working with a collaborative, cross-functional team, you'll help move models from experimentation to reliable, scalable deployment. From backend services to infrastructure and ML pipelines, you'll design, build, and support high-performance systems powering real-world healthcare solutions. What You'll Be Working On Developing scalable backend systems and APIs to support ML-powered features Deploying, monitoring, and optimizing models (LLMs and beyond) in production environments Collaborating closely with product and ML teams to bring research into real-world use Owning infrastructure tasks using modern tooling like Kubernetes, Docker, and AWS What We're Looking For 3+ years of experience in software, infrastructure, or ML-focused engineering roles Solid Python programming skills, ideally with PyTorch and FastAPI frameworks Experience designing and deploying services in cloud environments (AWS required) Proficiency with container orchestration tools (Docker, Kubernetes) Familiarity with Postgres and SQLAlchemy Why Join? Competitive compensation: $160K-$220K + equity Excellent health, dental, and vision coverage Unlimited PTO and generous parental leave Remote-first culture with 1 day/week in-office Make an Impact This is your chance to work on AI systems that improve the healthcare experience for millions. If you're ready to push boundaries and build at scale, we'd love to connect!

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up-across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop infrastructure for efficient data sharding, sampling, and pipeline execution. Build and monitor cluster performance and failure diagnostics (GKE/K8s, logging, and debugging tools). Work closely with research teams to ensure infrastructure meets the needs of frontier AI model development. Required Skills Experience: 5+ years in ML infrastructure, ML systems engineering, or AI platform engineering. Background: Proven experience at top AI research labs or companies working on large-scale AI models (e.g., OpenAI, DeepMind, Meta AI, NVIDIA, Anthropic, etc.). Preferred Skills Distributed Training: Multi-node training clusters, GPU compute optimization. ML Frameworks: PyTorch, PyTorch Lightning. Cluster Management: GKE/Kubernetes, cloud-based ML training setups. Parallelism Techniques: Data/model parallelism, FSDP, DDP, DeepSpeed. Debugging & Optimization: NCCL, CUDA, network optimizations for training stability. Mindset & Culture Fit: Highly driven, mission-focused, and thrives in a high-intensity startup environment. Excited to build ML infrastructure for training models from scratch (not just fine-tuning existing ones). Why Join? Work on cutting-edge AI research-building foundation models from scratch. Join a small, elite team solving some of the hardest ML infrastructure challenges. Have a direct impact on AI at scale, working alongside top researchers and engineers. Competitive compensation and meaningful equity in a fast-growing AI lab. This is an urgent hire, and we are reviewing candidates immediately. If you are an ML Infrastructure expert looking to work on groundbreaking AI research, apply now!

Electrical Engineer Duration: 1 + year Recent Graduates will work .. LOCAL CANDIDATES ONLY** Hybrid role. The roles will be onsite once per week and the rest of the time remote. This could change in the near future to more office visits. This positions will be half in Vacaville, CA and half in Rocklin, CA. **Client laptop will be provided *EQUIPMENT REQUIRED: personal cellphone, supplier provided dual monitors, docking station, mouse and keyboard. TOP THINGS • 0 -1 years' experience working with computer or information systems, • 0 -1 years of work experience supporting testing and troubleshooting on EMS systems, SCADA front ends, communications, and supporting applications.

Clearance Requirement: U.S. Citizenship required Experience Level: Senior (7+ years) iMETALX, Inc. is a company that aims to create a future where space is accessible and sustainable for all. We provide space domain awareness (SDA) and in-space servicing solutions for governments and businesses. iMETALX is looking for an engineer to join the team to work on cross-domain applications focusing on In-Space Servicing, Assembly, and Manufacturing (ISAM) such as on-orbit refueling, repositioning, and repair. This will span areas around spacecraft autonomy, such as world view, perception, and controls, as well as testing and deploying the software on real systems. iMETALX is looking for a platform engineer to bring on the team to support product development for various on-orbit demonstrations on our roadmap. Job Description: We are seeking a highly experienced Platform Systems Engineer to lead the design, development, and management of robust software platforms supporting high-performance computing and AI-enabled systems. This role requires deep technical knowledge in embedded systems, platform scalability, GPU integration, and infrastructure performance-across both edge devices and on-premises cloud environments. As a senior engineer, you'll work cross-functionally with software and hardware teams to deliver resilient, scalable platforms that meet demanding power, performance, and security requirements. Key Responsibilities Design, implement, and manage software platforms on Windows and Ubuntu using C++, Python, and deep learning frameworks (e.g., TensorFlow, PyTorch). Collaborate closely with hardware and software developers to ensure seamless integration, with attention to GPU compatibility, power requirements, and resource constraints. Architect and optimize platforms for scalability, efficiency, and network interfacing, supporting high-throughput and real-time performance. Support and enhance both developer and user experience by refining platform strategies, tooling, and build systems. Monitor system performance, perform root-cause analysis, and proactively troubleshoot platform-level issues. Drive CI/CD improvements and support the automation of routine tasks, especially for pre-deployment validation and platform testing. Ensure data protection, platform security, and vulnerability mitigation across systems. Implement and maintain containerization strategies (e.g., Docker), supporting modular and portable deployment. Design and maintain build frameworks that support multi-platform compilation and hardware abstraction layers. Work with architectures such as x86, mingw, ARM, and integrate across edge devices and on-prem/cloud-hosted systems. Optimize memory usage and structures to ensure deterministic and efficient behavior in constrained, real-time environments, and error handling. Implement support for network protocols and platform-level messaging between distributed components. Document processes, platform configurations, and operational workflows for reproducibility and team alignment. Stay current with emerging technologies and best practices in embedded systems, platform development, and devops. Qualifications U.S. Citizenship is required due to the nature of the work and customers. 7+ years of experience in embedded systems, platform engineering, or infrastructure development. Strong expertise with C++, Python, and working in Linux (Ubuntu) and Windows environments. Hands-on experience with deep learning frameworks and supporting GPU-accelerated applications. Deep understanding of containerization, build systems, and CI/CD pipelines. Experience with edge computing, site-hosted cloud architectures, and real-time system constraints. Familiarity with network protocols, memory management, and system-level performance tuning. Experience with x86, mingw, ARM and other hardware architectures common to embedded and platform development. Ability to own cross-functional development efforts and influence platform direction with minimal oversight. Strong documentation skills and a commitment to operational excellence. Preferred Qualifications: Experience with secure systems design or DoD/NASA platform standards Background in high-assurance, real-time, or safety-critical environments Contributions to open-source platform tools or embedded software frameworks Why Join Us? You'll be at the forefront of deploying intelligent systems in challenging environments-from space to the edge-while helping define the future of space AI platforms. We offer a highly collaborative team, cutting-edge hardware, and an environment where innovation is expected and rewarded.

About the Company: Construction Testing Services provides material testing, inspection, geotechnical investigations, and engineering services for major construction projects throughout California and Nevada. The CTS team provides owners with thorough project management - our engineers possess not only exceptional technical qualifications, but also administrative skills in estimating, contracting, reporting, invoicing, and budget management. We review and develop specifications for quality control and quality assurance to ensure construction projects are built per the project Plans and Specifications. Website: ************* About the Position: CTS is currently looking for an entry to mid-level Civil Engineer to join our growing team in our Sacramento Area office due to our increase in workload. Requirements/Qualifications: B.S. Degree in Civil Engineering or related field Possession of an Engineer-in-Training (EIT) license in Civil Engineering from the California Board of Civil Engineers, Land Surveyors, and Geologists or the ability to obtain one within 6 months of hire. Experience in at least some of the following tasks preferred, but not required: Materials Testing and Special Inspection Geotechnical Engineering Investigations Construction Management Construction Ability to work both independently and in groups Willingness to learn and expand technical knowledge Responsibilities: Review project Plans and Specifications Review inspectors' Daily Field Reports Perform and review laboratory testing Perform field testing and inspections Communicate with clients Provide project deliverables Provide technical support for field technicians Perform Structural Investigations Perform Geotechnical Investigations Learn and apply applicable test methods and procedures Job Type: Full-time Pay: $70,000.00 - $80,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Flexible spending account Health insurance Paid time off Vision insurance Schedule: Monday to Friday Ability to Relocate: Rocklin, CA 95677: Relocate before starting work (Required) Work Location: In person

Requisition ID # 158936 Job Category: Engineering / Science Job Level: Individual Contributor Business Unit: Electric Engineering Work Type: Hybrid The Electric Engineering team ensures the delivery of safe and reliable electric service to our customers. Electric Engineering is responsible for PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration, and emergency response. Position Summary This position is represented by Engineers & Scientists of California (ESC), subject to collective bargaining. This is a journey-level project engineer job that requires mastery of the Associate level engineer skills and duties and is responsible for leading the engineering and design of more complex projects. Uses independent judgment in applying engineering principles, working with minimal supervision. Works with engineers, project managers, construction personnel, and other business partners in assessing project needs. Responsibilities beyond those of associate Project engineer include, but are not limited to, the following: Develop technical studies and reports, and provide guidance to contractors and outside vendors. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. The annual salary range is: CA Minimum, $110,964 CA Maximum, $168,756 Job Responsibilities Demonstrates knowledge and abilities required for the Associate level Engineer and in addition: Presents findings to internal organizations, contractors and outside vendors. Provides technical expertise and performs engineering analyses, studies, and develops conceptual designs. Assists in root cause analysis. Develops, evaluates, and recommends alternative project proposals. Conducts walkdowns and design review meetings. Participates in the development of effective restoration plans. Prepares written technical documents such as design criteria, specifications, and reports. Solicits, prepares, and evaluates contracts and proposals from engineering consultants. Reviews consultant contracts for technical compliance. Interprets and applies applicable codes and regulations. Provides guidance to design and contractor team members, and reviews design and technical documents. Provides technical expertise and performs engineering analyses, studies, and develops conceptual designs. Approves reports, new drawings, and revisions to existing drawings for projects. In emergencies, promptly responds to facility failures. Represents PG&E to government bodies as required for assigned projects. Responds, in emergencies, to facility failures. Reviews consultant contracts for technical compliance. Solicits, prepares, and evaluates contracts and proposals from engineering consultants. Resolves problems of moderate scope, typically requiring standard solutions. Assignments typically require standard solutions. Under general direction, independently plans work to meet assigned objectives; progress is reviewed periodically for technical accuracy and adequacy in process and upon completion. External contacts are primarily coordinating with contractors and vendors. Internal contacts are with clients and project team members. May guide the work of less experienced team members. Exchanges information with others outside the team. May partner to solve problems or explore alternative solutions. Capable of coordinating with project team and has basic understanding of the roles and responsibilities of project managers. Able to work with limited supervision and guidance to meet project commitments. Able to work with internal and external customers and suppliers. Able to understand and implement the technical requirements of interfacing engineering disciplines. Demonstrates informed judgment when making decisions and recommendations. Uses judgment in applying engineering principles and techniques to determine cost effective and practical solutions. Ability to manage and complete several projects concurrently, depending on scope and complexity. Interprets applicable codes, industry standards and regulations and educates others. Can provide thorough analysis of issues and justification of recommendations. Takes ownership of problems and their solutions. Qualifications Minimum: BS Degree in Electrical Engineering or a related technical discipline from an accredited curriculum in the US or the equivalent from outside the US 3 years of cumulative experience in engineering and design Desired: Experience in substation engineering and design California PE license #featuredjob

Photonic Test & Validation Engineer | $180K+ Based on Experience | Bay Area Are you an experienced engineer with a strong background in photonic systems validation? Do you have expertise in debugging, corner case analysis, and performance optimization? If so, this opportunity is for you! About the Role We are seeking a Photonic Test & Validation Engineer to lead testing and validation efforts for advanced photonic technologies. In this role, you will develop and execute rigorous validation methodologies, analyze system performance, and collaborate with multidisciplinary teams to enhance reliability and functionality. Responsibilities Design and execute engineering validation and design validation testing for photonic systems and components. Develop and implement detailed test plans and methodologies to assess system performance. Conduct corner case studies to evaluate system behavior under extreme conditions. Debug issues at both module and component levels, ensuring optimal functionality. Utilize advanced optical test equipment, including optical spectrum analyzers, real-time oscilloscopes, and power meters. Apply data analysis and statistical visualization techniques to extract actionable insights. Collaborate with cross-functional teams to integrate testing and validation into the development process. Continuously improve testing protocols and validation strategies. Experience & Skills Required Master's degree in Optical Engineering, Electrical Engineering, or a related field with at least 5 years of industry experience, OR a Ph.D. with at least 2 years of industry experience. Expertise in photonic components and systems, including lasers, semiconductor optical amplifiers (SOAs), optical splitters, optical filters, and photodetectors. Strong proficiency in optical test equipment such as optical spectrum analyzers, real-time oscilloscopes, and power meters. Experience developing and implementing robust validation methodologies and corner case studies. Strong analytical and problem-solving skills for troubleshooting complex issues. Excellent communication and teamwork skills to work effectively in a multidisciplinary environment. Preferred Qualifications Experience with data analysis and visualization tools for performance evaluation. Familiarity with automated testing frameworks or scripting for test process optimization. Knowledge of reliability testing and lifetime performance evaluation for photonic systems. What's in It for You? Competitive salary based on experience, starting at $180K. Comprehensive benefits package, including medical, dental, and Vision Insurance. Paid time off, including vacation, sick leave, and holidays. This role offers the chance to make a significant impact in the field of photonics while working alongside a team of industry experts. If you're ready to take on new challenges and contribute to groundbreaking innovations, we'd love to hear from you!

We are partnered with a high-growth startup that's redefining the future of productivity-taking on giants like Notion, Linear, and Airtable. Backed by over $25M in funding led by OpenAI ventures, this team is building the next generation of tools to augment human intelligence. They're looking for a Staff Backend Engineer to take the lead on backend architecture, infrastructure, and sync systems, helping bring AI-powered experiences to life. This is a unique opportunity to work directly with the CEO and founding team to shape the core product, infrastructure, and backend strategy in a fast-moving, highly creative environment. Also open to exceptional mid and senior engineers (backend or full stack) Remote but we work on PST hrs What You'll Do • Collaborate with the CEO, Founding Engineer, and Lead UX Designer to architect backend systems that enable intelligent, context-aware user experiences. • Lead the design and implementation of core infrastructure and local-first sync systems. • Develop backend services for rich, collaborative features powered by large language models. • Solve complex backend challenges-collaborative editing, real-time recommendation, data ingestion, and AI-driven indexing and discovery. • Improve observability and monitoring to ensure reliability and scalability. • Define and champion engineering best practices across the backend organization. You Might Be a Great Fit If You: • Are impact-driven, opinionated, and thrive in ambiguous environments. • Have led architecture across complex projects and teams. • Have scaled infrastructure in production environments. • Bring a systems-thinking mindset and enjoy tackling deeply technical challenges. • Have a strong sense of ownership and enjoy working from first principles. • Prior founder or startup experience is a big plus. Tech Stack • Backend: Django, Python, OpenAPI • Data: Postgres, Redis, Elasticsearch, Pinecone, Apache Beam, Cohere, OpenAI • Infra: Google Cloud Platform, Cloud Run, PubSub, Temporal, Terraform, GitHub Actions, Docker • Collaboration: TipTap (ProseMirror) with Yjs for rich text editing • Monitoring: Datadog Perks & Benefits • High-impact, greenfield work on the frontier of AI and productivity • Competitive salary and equity • Fully remote (US-based), with no required office time • 21 days of paid vacation • Regular company-sponsored retreats, events, and team meals • Comprehensive health coverage - medical, dental, vision, and mental health • Monthly wellness and AI tool stipends • Top-of-the-line equipment: M1 MacBook Pro, 4K display, and more • Family-first policies: 16 weeks of paid family leave, plus support for IVF, egg freezing, adoption, and childcare

The Company Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI's biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. The Job The next decade of technology growth will be driven by AI and robotics. Do you want to join in the excitement, opportunities and rewards that will come? Do you want to be part of a young company at the forefront? If you do, know that it will be hard work, if you are up for it, then this might be the job for you. The role starts early in our process with prospective customers to understand their current manufacturing processes, their challenges and goals; to understand their manufacturing operations as well as they do. Based on this knowledge the Application Engineer's role is to find ways to solve and improve their operations. This requires a deep technical and operational of both the Chef Robotics Systems and the customers operations. The role includes engagement with the customers engineers and manufacturing leaders to create a models of how the Chef Robotics' System would be built into the customer manufacturing line, using these models to build an ROI case by quantifying the manufacturing process improvements that the robots can achieve creating the documents and sales presentations that shows the customer the benefits Essential duties and responsibilities include: Lead the in-field deployment of Chef Systems at customer sites through Site Acceptance Test. Collaborate with Engineering and Project Management to prioritize and collect customer feature requests and requirements Work with Sales and Business Development to help close a customer addressing customer feature requests, questions, technical risks, and overall get buy-in from a technology perspective. Once the system is deployed- help lead customer success for that stakeholder so that they have a wonderful experience and buy more robots. Preparing and developing technical presentations to explain our company's products or services to customers. Discussing equipment needs and system requirements with customers and engineers. Collaborating with sales teams to understand customer requirements and provide sales support. Researching, developing and modifying products to meet customers' technical requirements and needs. Identifying areas for improvement and communicating these issues as well as possible solutions to upper management. Training other members of the sales team on the technical aspects of the company's products and services. You You are passionate about robotics, manufacturing automation, and working with customers. You have a strong track record of successful engagements with customers from pre-sales engineering through deployment. You know how to manage your time, are self-driven, capable of figuring out what needs to be done, scheduling, and executing to customer needs. You know how to deal with difficult situations when customers are not satisfied, when your company or product is challenged, you know how to manage the customer expectations and drive your company's organization to drive product or operational improvements. You may be a recent college grad with a BS or preferably an MS, in Computer Science, Robotics, Electrical Engineering or Mechanical Engineering Experience in a manufacturing environment is preferred or you should have the passion to learn the customers business, build domain knowledge to understand our customers' goals and operations. Since we have customers across the US and Canada this job requires up to 50% travel. And since you would be the face of the company dealing directly with customers this position requires excellent communication necessary for developing and maintaining good internal and external relations. You should have excellent interpersonal communications skills with the ability to handle high stakes, high pressure customer interactions in a professional and engaging manner. You have these skills and characteristics: Recent college grads or BS or MS, in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field. Prior experience or desire to a career with at least one of the following areas: product engineering, applications engineering, solutions engineering, sales engineering, forward deployed engineering. Able to work independently and with minimal supervision. Familiar with Linux/Unix and or Robot Operating System (ROS). Recognize, communicate, and properly document product issues, complaints and improvements. Coordinate onsite schedule (yourself, vendor, other technicians, etc.) in alignment with customer expectations

We exclusively represent a global leader in semiconductor and advanced electronic design software company that is looking to expand its senior technical team. Their software tools enable companies worldwide to develop highly innovative electronic products faster and more cost-effectively. Their customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Our client seeks someone to help change the analog EM/IR industry. Circuits must pass EMIR and power integrity analysis at signoff to ensure they work in the field. However, today's tools are difficult to use and limited in capability. Our client's tool is changing that. Our client seeks a highly motivated technologist with the capability and desire to drive the development and deployment of this exciting new tool. This latest addition to our excellent team will work with the team to define, support and market transistor-level power analysis and reliability signoff. Enable customers to successfully analyze and eliminate transistor-level EM/IR issues Define and spec new features based on customer needs and product strategy Build tight customer relationships Partner with engineering to agree on specification details and test cases Manage customer and internal stakeholder expectations Job Qualifications The successful candidate will possess the following combination of education and experience: BS degree (or equivalent) in Electrical Engineering, Physics or a related field is required. MS degree is highly preferred. Should have 5 or more years of relevant experience in the semiconductor IC design or EDA industry Strong knowledge and experience in analog design, transistor-level IR/EM analysis, transistor-level simulation, parasitic extraction, and cell characterisation. Proven track record of handling fab collaterals (tech files, rule decks etc) Previous experience with product development is a requirement Must demonstrate script-programming skills with languages such as TCL, Perl, Python, shell, etc. Must be familiar with Unix/Linux operating systems Must demonstrate excellent analytical and problem-solving capabilities, and strong communication skills Ability to manage multiple projects simultaneously with cross-functional, distributed teams Ability to write comprehensive marketing or product requirement specifications in English. Proven teamwork skills Willingness to travel 25%

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up-across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop infrastructure for efficient data sharding, sampling, and pipeline execution. Build and monitor cluster performance and failure diagnostics (GKE/K8s, logging, and debugging tools). Work closely with research teams to ensure infrastructure meets the needs of frontier AI model development. Required Skills Experience: 5+ years in ML infrastructure, ML systems engineering, or AI platform engineering. Background: Proven experience at top AI research labs or companies working on large-scale AI models (e.g., OpenAI, DeepMind, Meta AI, NVIDIA, Anthropic, etc.). Preferred Skills Distributed Training: Multi-node training clusters, GPU compute optimization. ML Frameworks: PyTorch, PyTorch Lightning. Cluster Management: GKE/Kubernetes, cloud-based ML training setups. Parallelism Techniques: Data/model parallelism, FSDP, DDP, DeepSpeed. Debugging & Optimization: NCCL, CUDA, network optimizations for training stability. Mindset & Culture Fit: Highly driven, mission-focused, and thrives in a high-intensity startup environment. Excited to build ML infrastructure for training models from scratch (not just fine-tuning existing ones). Why Join? Work on cutting-edge AI research-building foundation models from scratch. Join a small, elite team solving some of the hardest ML infrastructure challenges. Have a direct impact on AI at scale, working alongside top researchers and engineers. Competitive compensation and meaningful equity in a fast-growing AI lab. This is an urgent hire, and we are reviewing candidates immediately. If you are an ML Infrastructure expert looking to work on groundbreaking AI research, apply now!