Product engineer jobs in Santa Clara, CA - 6,953 jobs

A leading technology company in Sunnyvale, California, is seeking a Machine Learning Engineer with expertise in building and shipping LLM products. The role involves owning the full ML stack from data to deployment, designing next-gen LLMs for assistant behavior, and collaborating on cross-functional teams. Ideal candidates should have a Master's or PhD in a relevant field, proven Python skills, and familiarity with deep learning frameworks. This position offers a competitive salary range of $147,400 to $272,100, alongside a comprehensive benefits package. #J-18808-Ljbffr

A leading cloud infrastructure provider is seeking a Senior Product Security Engineer in San Francisco, CA. In this role, you will assess security risks for new products and features, collaborate with engineering teams, and champion a security culture. The ideal candidate will possess expertise in secure architecture design and a passion for mentoring. This remote role offers a competitive salary, ranging from $161,000 to $220,000, along with benefits and growth opportunities. #J-18808-Ljbffr

Mill is all about answering a simple question: how can we prevent waste? Less waste can save time, money, energy, maybe even our planet. And there's no better place to start than food. Food waste is one of the most solvable climate problems facing us today. Plus, our trash really stinks. It's gross, heavy, and our least favorite chore. At Mill we are striving to build a better environment for all, as we take on climate and kitchen change. As a member of Mill's Product Design Engineering team you will be part of a cross functional team to design, validate and ship Mill's hardware products. You will work closely with other members of the PD team as well as cross functional groups including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations. Objectives of this role: Design mechanical systems to balance complex tradeoffs between cross functional teams including Industrial Design, Electrical Engineering, Reliability, Product Management and Operations Generate detailed CAD models, specifications and documentation Prototype, Test and Analyze component and system designs Validate and system performance and iterate designs to achieve targets Create predictive models and correlate with real world performance Perform root cause analysis of performance failures and drive corrective actions Work directly with the supply chain to ensure parts are properly manufactured and assembled. Qualifications BS degree in mechanical engineering or equivalent 2 + years experience working in mechanical product design. Consumer Electronics or Home Appliance industries are preferred Expertise in CAD modeling, experience with NX is preferred. Detailed knowledge of plastic and metal part manufacturing processes Solid understanding of product design concepts including Design for Manufacturing (DFM), Design for Assembly (DFA), Tolerance Analysis Demonstrated ability to apply engineering fundamentals to find simple solutions to complex problems A strong desire to work hands-on Strong communication skills The estimated base salary range for this position is $150k to $175k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. #J-18808-Ljbffr

A cutting-edge AI lab in San Francisco is seeking experienced end-to-end engineers to join their small, talent-dense team. The role involves building innovative software products, enhancing user experiences, and collaborating closely with product teams. Ideal candidates should have experience with Python, Typescript, and React. Strong achievers who thrive in fast-moving environments are encouraged to apply. #J-18808-Ljbffr

A tech startup focused on CAD intelligence is seeking a talented individual to own the creation and refinement of computational geometry features using Python and C++. You'll collaborate closely with engineers and gain insights from customers to shape the product roadmap. The role offers a generous equity package, opportunities for growth, and relocation assistance to San Francisco. Excellent communication skills and experience with reinforcement learning algorithms are required. #J-18808-Ljbffr

A blockchain-based payment company is looking for an early Product Engineer to help partners move money on-chain. You will work with design partners to build production-ready applications. Responsibilities include delivering customer applications, building fullstack solutions, and collaborating with cross-functional teams. The ideal candidate has strong TypeScript skills, and needs to thrive in a collaborative, high-energy environment. This role is perfect for engineers aspiring to take initiative and deliver impactful solutions. #J-18808-Ljbffr

A healthcare technology company based in San Francisco is on a mission to revolutionize healthcare with a new software platform. They are seeking a Staff Product Engineer to tackle complex challenges using Elixir and modern cloud architecture. The ideal candidate will have at least 10 years of experience in software engineering, strong problem-solving skills, and a passion for impactful healthcare solutions. This role supports a hybrid work environment, encouraging collaboration on-site three days a week. #J-18808-Ljbffr

A tech startup seeks engineers who can lead and build teams while developing a best-in-class product. Ideal candidates should have over 2 years of experience on strong software teams and show a track record of growth in team leadership. Familiarity with Kotlin, React, and Postgres is valued. The company promotes curiosity, enjoyment of the startup journey, and caring about product/users. Benefits include competitive salary, equity, and health plans. #J-18808-Ljbffr

A dynamic logistics technology company in San Francisco is seeking a Staff Software Engineer to lead the design and build of AI-native products. This high-impact role requires strong technical leadership, mentoring abilities, and proven experience in scalable system architecture. Candidates must thrive in a startup environment and have a passion for delivering high-quality solutions. The role offers the opportunity for end-to-end ownership from idea to implementation, shaping the future of logistics technology. #J-18808-Ljbffr

A leading AI company in San Francisco is seeking a Software Engineer to develop AI-powered manufacturing applications. You will build full-stack solutions, design distributed systems, and integrate with factory-floor systems to enhance manufacturing processes. The ideal candidate holds a Bachelor's degree in computer science and has experience in full-stack development, industrial automation, and AI model deployment. The position offers a salary range of $136,000 - $160,000 per year. #J-18808-Ljbffr

About Us Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. The Role We're looking for a Head of Growth who can move fast, experiment relentlessly, and turn great ideas into measurable traction. You'll be in the trenches, shipping campaigns, testing new channels, building loops, and driving real user adoption. As our first dedicated growth leader, you'll own our playbook across social, product, community, and performance marketing. You should be as comfortable writing a launch tweet or spinning up a landing page as you are evaluating funnel metrics and iterating on experiments. You'll work closely with our founders, engineering, and product teams to bring Relace to the broader developer and builder ecosystem. You'll: Run fast, creative campaigns across X (Twitter), LinkedIn, Discord, and other channels to build awareness and convert technical audiences. Design, launch, and iterate growth loops that turn attention into active users and advocates. Identify new distribution channels, partnerships, and viral opportunities before they're obvious. Own our growth stack - from analytics to landing pages to automation. Build a culture of experimentation: rapid iteration, smart measurement, and learning fast. Collaborate directly with engineering and research to translate technical breakthroughs into accessible, compelling narratives. #J-18808-Ljbffr

About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to build and scale the systems that power OpenAI's marketing channels and spend efficiency. Your role will include projects such as developing campaign management tools, integrating with major ad platforms, building real-time attribution and reporting pipelines, and enabling experimentation frameworks to optimize our objectives. As we are in the early stages of building this platform, we will rely on you to design and implement foundational MarTech infrastructure that make our marketing investments more effective, measurable, and automated. We value engineers who are impact-driven, autonomous, and adept at turning ambiguous business goals into robust technical systems. In this role, you will Drive long-term growth of ChatGPT by building the technical infrastructure behind OpenAI's paid marketing platform. Design and deploy backend APIs, data pipelines and services to support campaign management, attribution, and spend optimization. Execute on projects by working closely with growth marketing, data science, product, and other engineering teams to land impact on growth goals. Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think. You might thrive in this role if you Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary. Have shipped systems that power marketing or growth use cases, such as attribution pipelines, campaign management tools, or integrations with major ad platforms. Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs. Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. Compensation Range: $160K - $385K #J-18808-Ljbffr

About Us Point One Navigation is building the future of precise location. Our mission is to deliver a unified location platform that enables autonomy, safety, and efficiency across industries from robotics to transportation. We are a high-performance, high-collaboration team that thrives on solving complex problems, moving fast, and delivering impact. Role Outcome We are looking for a Field Application Engineer (FAE) based in US to support technical adoption and success of our GNSS/GPS SaaS solutions across key accounts globally. You will play a vital role in the go-to-market process, partnering closely with Sales, Product, Customer Success, and Engineering teams around the world. As an FAE you will provide technical advisory and expertise on full system design, have the ability to not only build technical relationships but effectively influence lead engineer and technical decisions through technical storytelling. Must be deeply interested in debugging/troubleshooting/investigating technical challenges. Success in this role means being responsible and owning technical wins and cultivating technical champions with prospects and customers. You'll work with prospects and customers in verticals such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. From designing proof-of-concepts to architecture reviews to post-sales support, you'll be instrumental in helping customers succeed with our technology. Immediate Areas of Focus Pre-Sales Technical Engagement: Partner with the Sales team to understand customer needs and deliver technical presentations, workshops, and demos. Design and execute proof-of-concepts (PoCs) to engage deeply with engineering teams and technical stakeholders to guide them through product evaluation and decision-making. Solution Architecture & Design: Lead customers through architecture reviews, deployment planning, and systems integration design involving GNSS corrections, cloud services, autonomy stacks, and embedded systems. Recommend scalable integration strategies and help customers plan for high-precision, real-time positioning deployments. Post-Sales Technical Enablement & Support: Support product integration, onboarding and adoption by providing hands-on technical guidance, documentation, and training. Act as the technical liaison between the customer and internal teams to troubleshoot issues and optimize performance. Ensure successful long-term product usage and contribute to technical success planning for key accounts. Global & Regional Collaboration: Work in close coordination with global counterparts in North America, EU, APAC to ensure alignment on strategy, resources, and product support. Serve as a bridge between customers and the global product/engineering organization, bringing localized insight to the global roadmap. Support internal initiatives such as solution standardization, reusable assets, demo environments, and training content. Qualifications 2+ years of customer facing engineering role 2+ years in a hardware, software and/or GNSS space Ability to travel 25% of time Our Cultural Foundation At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position. This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow - both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them. That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today's outcomes with excellence, the path to greater responsibility and growth naturally follows. We think about our culture in two dimensions: How We Show Up Every Day These are the behaviors we expect every team member to bring to work - the foundation of being a consummate, high-output teammate: Trust / Assume Best Intent - Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting. High Output, Action Oriented - Our default posture is “yes.” We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us. Divine Discontent - We're never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles. No Ego, One Team - Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together. Self Accountability - Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust. Operating Principles These are the systems and norms that amplify speed and efficiency at the company level: Edge Innovation - We bias toward action over approval. Experiment, decide, and move - failure is just a step toward faster learning. No Hierarchies - We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy. Customer Experience First - We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most. If this role sounds like a fit, we'd love to hear from you. Apply below and join us in shaping the future of precise location. #J-18808-Ljbffr

A well-funded startup in AI marketing is seeking a proactive Full-Stack Software Engineer for a full-time, on-site position in San Francisco. The role involves full lifecycle ownership of features, including design and implementation, utilizing technologies like Node.js, TypeScript, and PostgreSQL. Ideal candidates should have at least 2 years of experience, strong skills in frontend and backend development, and a degree in Computer Science or a related field. This is an excellent opportunity to join an ambitious team and tackle significant challenges in a growing market. #J-18808-Ljbffr

About Sorcerer Sorcerer is deploying a global network of persistent airborne sensors to fuel weather forecasting. Our high-altitude balloons collect 1000x more data than existing systems and are already used daily by meteorologists to track extreme weather across the US and Central America. We are a well-funded early-stage Y Combinator backed startup based in San Francisco, CA. This is an opportunity to join at an early stage, where you have an outsized impact across the company every day. About the role As a Manufacturing Engineer at Sorcerer you'll be responsible for developing manufacturing tooling and processes for both our vehicle and avionics hardware. We are rapidly scaling our sensing network to hundreds of active flight systems making this an incredibly important role with runway for huge and immediate impact. Responsibilities Develop avionics manufacturing and test fixtures Work within engineering team to refine designs for manufacturability Develop assembly procedures and test plans Assemble and test production flight hardware when needed Required Skill & Experience Ability to troubleshoot electronic systems Experience with test automation frameworks (e.g., Open HFT, Pytest) Highly proficient in soldering and assembly Ideal Candidates Have experience managing supply chains and PCBA contract manufacturing Have experience working with plastic films Have experience working in startups and small independent teams Succeed with a high level of autonomy Location This is an in-office role at our HQ in SoMa, San Francisco Benefits 401k Unlimited PTO 100% Health, Dental, Vision Company paid life insurance All relocation costs covered (if applicable) Catered lunch every day Fully-stocked office kitchen Commute/parking stipend OR monthly proximity benefit if you relocate to within 30m walk of the office Hiring exceptional people is our top priority, and we believe that exceptional people often have unusual backgrounds. Don't be discouraged from applying if you don't hit every qualification. We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. #J-18808-Ljbffr

A tech company focused on hardware innovation is seeking a Manufacturing Engineer to bridge hardware design and scalable production. This critical role involves collaborating with engineers for manufacturable and reliable products, managing inventory systems, and implementing quality processes. Candidates should have over 3 years of experience in manufacturing engineering and a strong understanding of DFM/DFA principles. This position offers an opportunity to work at the intersection of design and production in a fast-paced environment. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A global technology company based in California seeks a talented individual to design and develop Deep Learning architectures. This role involves creating intelligent experiences through innovative Machine Learning solutions, collaborating with various teams, and requires a strong programming background. Candidates should hold a Bachelor's degree in Computer Science or similar, with familiarity in Python, Objective C, or Swift and relevant project experience. Competitive salary and extensive benefits offered. #J-18808-Ljbffr

A technology solutions provider is seeking a Field Application Engineer to support technical adoption of GNSS/GPS SaaS solutions. This role involves working with sales and product teams to deliver presentations and lead architecture reviews. The ideal candidate will have 2+ years in a customer-facing role and experience in hardware or software. A willingness to travel 25% of the time is required. Join a dynamic team and contribute to the future of precise location in various industries. #J-18808-Ljbffr