Design engineer jobs in Napa, CA - 3,259 jobs

About the team Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate in production settings, which means mechanical design has to be robust, manufacturable, and tightly integrated with electronics and control systems. Our mechanical team designs the structures, linkages, and assemblies that make the robots real. This work moves fast and lives on the shop floor as much as it does in CAD. About the role As a Mechanical Design Engineer at Droyd, you'll own mechanical subsystems from first sketch through working prototype. You'll design, build, break, and iterate on real hardware. This is a hands‑on role. You'll spend time in CAD, but also at the printer, in the shop, and on the robot. You'll work closely with electrical, software, and robotics teams to bring systems together. This role is based in Burlingame, CA. We're an in‑person company. We build faster that way. In this role, you'll Own mechanical subsystem design from concept to prototype and iteration Design parts and assemblies in CAD, supported by hand calculations and FEA when needed Design for rapid prototyping methods including 3D printing and CNC machining Make decisions on materials, tolerances, and manufacturing methods Integrate mechanical designs with motors, sensors, electronics, and actuators Build prototypes yourself using 3D printers, shop tools, and CNC equipment Work closely with manufacturing to turn designs into physical hardware quickly We're looking for someone who Has a strong portfolio showing complete systems taken from concept to physical prototype Has experience on hands‑on engineering teams such as Formula SAE, aerospace clubs, or robotics teams Has internship or early‑career experience on real hardware projects or at hardware startups Is proficient with modern CAD tools (Onshape preferred, but not required) Understands manufacturing methods, tolerancing, and assembly workflows Is comfortable with hands‑on fabrication and rapid iteration Nice to have Experience with FEA, topology optimization, or generative design Exposure to electronics, controls, or mechatronic systems Interest in industrial or visual design alongside functional engineering About Droyd Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, write the control stack, and deploy robots that operate in real environments. If we do this right, robots stop being prototypes and start being infrastructure. Join us and help build hardware that ships. #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 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 leading AI research organization based in San Francisco is looking for a Silicon Implementation Engineer to develop and optimize physical design strategies for next-generation AI accelerators. The ideal candidate will collaborate with RTL designers and drive implementation solutions while ensuring power, performance, and area optimizations. This role requires strong expertise in physical design and methodology development, with a background in coding and tool creation. Experience with AI-focused chips is a plus. #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

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 leading technology firm in San Francisco is looking for an innovative engineer to develop generative AI applications. This role requires a PhD in a relevant field and backend development experience, preferably in Go or Python. You will work with cutting-edge technologies and collaborate with world-class teams to create and implement AI solutions. Cisco offers a competitive salary and a collaborative work environment that fosters growth and innovation. #J-18808-Ljbffr

Think Different. Build the Future. 🚀Our Mission Build everyday AGI. Trustworthy, consumer-grade agents that redefine human-AI collaboration for millions. Software shouldn't wait for commands; it should partner with you, amplifying what you can do every single day. Why AGI, Inc. We're a stealth team of elite ex-founders, Stanford and Berkeley AI researchers, and DeepMind alumni. With years of agent research, our platform runs live agent workflows with 99.9% reliability. We are supported by tier-1 investors who funded the first wave of AI giants; now they're backing us to deliver the next, everyday AGI. If you see possibility where others see limits, read on. About the Role You'll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to: Think from zero. Whiteboard the concept in the morning and demo it by evening. Own the stack. Backend, frontend, model orchestration, observability-whatever removes friction between idea and shipped product. Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters. Define the bar. Establish the engineering, design, and reliability standards that every future hire will follow. Move markets. Your features won't live in a sandbox, they'll redefine how everyday people trust and collaborate with AI. You'll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key Responsibilities Harness frontier LLMs. Turn GPT-5, Llama, and custom models into memory, reasoning, and planning that feel like magic. Craft end-to-end experiences. Design, code, and ship full-stack features. Python, TypeScript, Postgres, GPU infra, whatever it takes. Prototype at lightning speed. Mon: idea. Tue: v1. Wed: users break it. Thu: flawless v2. Engineer for trust. Single-digit-ms paths, sandboxed execution, telemetry everywhere. Invent agentic primitives. APIs, eval harnesses, and safety guardrails that lets new research ship to millions. Listen, iterate, delight. Sit with users, absorb the pain, and turn feedback into joy. You Bring 3-8 yrs shipping zero-to-one or hyper-growth products. At least one live, LLM-powered feature or agent in the wild. Fluency across the stack from React/Svelte down to k8s & GPU queues. Design sense that refuses awkward clicks or dead pixels. Love for in-person collaboration; ready to build in SF. Our Culture 🏢 All in, in person. Work moves faster face-to-face. 🚀 Ship by default. Novel and polished can coexist, speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win. Our perks 🏥 Fully covered medical, dental, and vision insurance for employees. ✈️ Relocation and immigration support. How to Apply Send us: A link-or 60-sec video-of something you built and why it matters. Your resume or LinkedIn. Two sentences on the hardest problem you've cracked. Every exceptional candidate hears back within 48 hours. We can't wait to see what you've got and to welcome you to the AGI Inc. team! #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 leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #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

A company specializing in robotic systems seeks a Mechanical Design Engineer to design and build mechanical subsystems from concept to prototype. This hands-on role involves using CAD, collaborating with electrical and software teams, and fabricating prototypes in a shop environment. Candidates should have a strong engineering portfolio and experience on hands-on engineering teams. The position is in California and requires in-person presence. #J-18808-Ljbffr

About the Team OpenAI's Hardware team designs the custom silicon that powers the world's most advanced AI systems. From system‑level architecture to custom circuit implementations, we partner closely with model and infrastructure teams to deliver performance, power, and efficiency breakthroughs across all layers of the stack. About the Role We are seeking a highly skilled Silicon Implementation Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next‑generation AI accelerators. You'll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon's performance and cost efficiency, as well as the team's execution velocity and quality. In this role, you will: Develop, build and own tools, flows and methodologies for physical implementation Own physical implementation of floorplan blocks from floorplanning to final signoff Collaborate with RTL designers to drive optimal block implementation solutions Analyze and optimize design for timing, power, and area trade‑offs, working in collaboration with EDA vendors and ASIC partners Qualifications: BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development Demonstrated success in taping out complex silicon designs Hands‑on experience with block physical implementation and PPA convergence Strong coding experience with python, bazel, TCL Strong experience building physical design tools, flows and methodologies Strong understanding of microarchitecture, RTL design, physical design, circuit design, physical verification and timing closure. Deep familiarity with industry‑standard tools and flows for physical synthesis, PNR, LEC and power estimation Bonus: Experience with AI or HPC‑focused chips Experience with optimizing PPA for high performance compute cores Hands‑on experience with top‑level design methodologies 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 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. 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 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. #J-18808-Ljbffr

An AI-native engineering firm in San Francisco seeks a talented mechanical engineer to lead the design and commissioning of mechanical systems across various industrial applications. The role involves using innovative AI-powered engineering tools and working closely with cross-functional teams to create efficient solutions. Ideal candidates will have foundational knowledge in mechanical engineering, hands-on experience with fluid systems or HVAC, and excellent collaboration skills. This is an opportunity to be part of an engineering-led team driving impactful projects. #J-18808-Ljbffr

A leading technology company in San Francisco is seeking a professional to develop AI/ML solutions. You will work closely with various teams to implement and optimize applications based on large language models. The ideal candidate has a Bachelor's or Master's degree in a relevant field and a strong understanding of machine learning algorithms. Join us to contribute to innovative projects and collaborate in a dynamic environment. #J-18808-Ljbffr

A pioneering tech startup in San Francisco is looking for a full-stack engineer to shape its core AI product. You will join a dynamic team to integrate AI companions into user workflows through fast prototyping and robust product development. The ideal candidate has 3-8 years of experience in creating LLM-powered features and a passion for user-centric design. Perks include fully covered medical insurance and relocation support. Join us in redefining human-AI collaboration! #J-18808-Ljbffr

Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe's experience in global payments and Paradigm's expertise in crypto tech. Tempo's payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century. We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more. We're a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences - join us! The Role We're hiring for an early Product Engineer to help Tempo's partners move money on-chain. You'll work directly with design partners to diagnose, design, build, and deliver production-ready applications and integrations. You'll build world-class products that bring together the best in wallets, APIs, explorers, and payment systems, capable of turning any customer need into running code. This is a deeply technical, high-ownership role for someone who thrives on autonomy, collaboration, and execution. The ideal candidate combines the mindset of a product-oriented engineer with the instincts of a customer-facing developer, working across Tempo's stack to unblock integrations, ship fixes quickly, and feed insights back into Product and Engineering. The role is ideal for customer- and product-centric engineers who aspire to be founders. Responsibilities Scope, architect, and deliver customer applications that meet functional, security, and reliability requirements Build and own fullstack partner applications across frontend, backend, and on-chain components for partners on Tempo Stand up reliable backends with services, queues, and data models; integrate partner systems and third-party SDKs; optimize for performance and cost Prototype to validate with POCs and middleware to unblock partners quickly, and graduate successful patterns to production quality Collaborate with Product, Partnerships, and Engineering to prioritize and land high-impact improvements surfaced from the field Customer engagements can range from month-long embedded product builds, to week-long feature deliveries, to short-term Q&A and support work Qualifications Experience as a fullstack software engineer or forward deployed engineer at a blockchain, fintech, or infrastructure company. Prior experience with customer-facing roles is not required, but may be beneficial. Deep proficiency in TypeScript is a must to build performant, delightful product experiences. The ideal candidate can take customer requirements to architect and design a solution, ship into production, and debug across frontend, backend, SDK, and onchain layers. Nice to have Wagmi, Viem, and Foundry experience and bonus for Solidity, Go, Rust, and infrastructure experience. Strong communication and customer empathy; able to bridge technical depth with clear, actionable guidance for non-technical audiences. Proven ability to operate independently and make product-level tradeoffs in high-context, fast-moving environments Attributes High-energy, proactive, and execution-driven Engineer by trade with a deep curiosity for how systems work end-to-end Sharp communicator who can represent Tempo's technology with clarity and conviction Highly autonomous, comfortable prioritizing and shipping fixes directly in the field Collaborative and adaptable; learns fast from partners and feeds insights back into the product loop Scrappy and hands-on; willing to dive deep to make integrations succeed #J-18808-Ljbffr

Research-Hardware Codesign Engineer | OpenAI Careers Research-Hardware Codesign Engineer Hardware - San Francisco Apply now (opens in a new window) About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're seeking a Research-Hardware Codesign Engineer to operate at the boundary between model research and silicon/system architecture. You'll help shape the numerics, architecture, and technology bets of future OpenAI silicon in collaboration with both Research and Hardware. Your work will include debugging gaps between rooflines and reality, writing quantization kernels, derisking numerics via model evals, quantifying system architecture tradeoffs, and implementing novel numeric RTL. This is a hands‑on role for people who go looking for hard problems, get to ground truth, and drive it to production. Strong prioritization and clear, honest communication are essential. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role: Build on our roofline simulator to track evolving workloads, and deliver analyses that quantify the impact of system architecture decisions and support technology pathfinding. Debug gaps between performance simulation and real measurements; clearly communicate root cause, bottlenecks, and invalid assumptions. Write emulation kernels for low‑precision numerics and lossy compression schemes, and get Research the information they need to trade efficiency with model quality. Prototype numerics modules by pushing RTL through synthesis; hand off novel numerics cleanly, or occasionally own an RTL module end‑to‑end. Proactively pull in new ML workloads, prototype them with rooflines and/or functional simulation, and drive initial evaluation of new opportunities or risks. Understand the whole picture from ML science to hardware optimization, and slice this end‑to‑end objective into near‑term deliverables. Build ad‑hoc collaborations across teams with very different goals and areas of expertise, and keep progress unblocked. Communicate design tradeoffs clearly with explicit assumptions and confidence levels; produce a trail of evidence that enables confident execution. You Will Thrive in this Role if: An exceptional track record of high‑quality technical output, and a bias for shipping a prototype now and iterating later in the absence of clear requirements. Strong Python, and C++ or Rust, with a cautious attitude toward correctness and an intuition for clean extensibility. Experience writing Triton, CUDA, or similar, and an understanding of the resulting mapping of tensor ops to functional units. Working knowledge of PyTorch or JAX; experience in large ML codebases is a plus. Practical understanding of floating point numerics, the ML tradeoffs of reduced precision, and the current state of the art in model quantization. Deep understanding of transformer models, and strong intuition for transformer rooflines and the tradeoffs of sharded training and inference in large‑scale ML systems. Experience writing RTL (especially for floating point logic) and understanding of PPA tradeoffs is a plus. Strong cross‑functional communication (e.g. across ML researchers and hardware engineers); ability to slice ambiguous early‑incubation ideas into concrete arenas in which progress can be made. 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 Aff… . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. 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 $230K - $460K + Offers Equity Apply now (opens in a new window) #J-18808-Ljbffr