Project engineer jobs in South San Francisco, CA - 8,674 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

TypeScript Developer - $90/hr Remote - Alignerr About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting‑edge AI models. Organization: Alignerr Position: TypeScript Developer Type: Hourly Contract Compensation: $60-$90 /hour Location: Remote Commitment: 10-40 hours/week Role Responsibilities Review and provide feedback on AI-generated TypeScript code for type safety and best practices. Solve complex development challenges using idiomatic TypeScript and modern frameworks. Write detailed summaries explaining architectural decisions and type logic. Bridge the gap between strong type systems and intelligent AI models. Requirements Bachelor's degree or higher in Computer Science or a related field preferred. Expertise in TypeScript, including static typing, generics, interfaces, and utility types. 3-5 years of experience with modern frontend or full‑stack frameworks (e.g. React, Angular, Node.js, Next.js, Nuxt.js). Exceptional written and verbal communication skills. Preferred Experience with data annotation or model evaluation systems. Application Process (Takes 15-20 min) Submit your resume Complete a short screening Project matching and onboarding $60 - $90 an hour #J-18808-Ljbffr

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are seeking a senior automation and controls engineer to design and implement cutting-edge robotic automation systems. You will work alongside our robotics and machine learning engineers to deploy the Skild Brain into a wide variety of production settings. You will also help create automated solutions and testing systems to help us scale our robot fleet. Your work will directly impact the large scale integration and adoption of our general purpose robotic brain for practical economic problems around the world. Responsibilities Design, implement, and maintain automation solutions leveraging our AI models for various real-world problems Develop solutions leveraging PLCs, vision sensors, and/or other systems to assist with large-scale robot brain deployment and testing to help us improve our models Collaborate with robotics and machine learning engineers and scientists to integrate our existing robotic stack into production environments Preferred Qualifications More than 3+ years of industry experience Degree in ME/EE/Robotics/Controls or equivalent experience. Very comfortable with PLCs, vision, sensors, actuators, and end-to-end component integration Built, launched, and sustained production automation and robotic systems on real lines Knowledge of industrial standards and plant protocols Strong systems-level understanding of the various software modules and their interfaces in typical robotic applications Base Salary Range $100,000 - $300,000 USD #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 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 forward-thinking AI company located in California is seeking a highly skilled Distributed Training Engineer. In this key role, you will build, optimize, and maintain the software stack critical for large-scale AI training. Ideal candidates will possess a strong foundation in ML systems engineering and experience across various technologies like CUDA and PyTorch. Benefits include competitive salary, 401k plan, and flexible time-off options. #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 dynamic design firm is seeking a Project Engineer to support innovative mechanical engineering projects from concept to construction. You will prepare design reports, conduct calculations, and collaborate with clients and team members. Ideal candidates possess a Bachelor's degree in Mechanical Engineering, 5+ years of experience, and proficiency in Revit. This role offers a competitive salary range of $100,000 - $135,000 annually and opportunities for bonuses. #J-18808-Ljbffr

About the Team The Sora team is working on making video a key capability of OpenAI's foundation models. We are a hybrid research and product team that seeks to understand and expand the capabilities of our video models, while ensuring their reliability and safety. We accomplish this both through directly studying and experimenting with the models, as well as deploying them into the real-world to distribute their benefits widely. About the Role As a Distributed Systems/ML engineer, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This requires good engineering (for example designing, implementing, and optimizing state-of-the-art AI models), writing bug-free machine learning code (surprisingly difficult!), and acquiring deep knowledge of the performance of supercomputers. We're looking for people who love optimizing performance, understanding distributed systems, and who cannot stand having bugs in their code. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Collaborate with researchers to enable them to develop systems-efficient video models and architectures Apply the latest techniques to our internal training framework to achieve impressive hardware efficiency for our training runs Profile and optimize our training framework You might thrive in this role if you: Have experience working with multi-modal ML pipelines Love diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability Have strong software engineering skills and are proficient in Python. Have experience understanding and optimizing training kernels Are passionate about understanding stable training dynamics 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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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: $380K - $555K #J-18808-Ljbffr

A cutting-edge manufacturing innovation firm in Menlo Park is seeking a Head of Controls Engineering to design and lead complex control systems for software-defined factories. This is a pivotal role that requires 7+ years in controls engineering, knowledge in PLC programming, and experience integrating robotics with software platforms. Join us to redefine manufacturing with AI technology and be part of a growing startup culture focused on high-stakes challenges. #J-18808-Ljbffr

FranklinWH is a rapidly expanding company determined to become the leader in the global energy home storage system (ESS) industry. FranklinWH offers whole home energy solutions typically coupled with solar PV systems, bringing households into the modern all-electric future. Though founded by experts in power electronics, BMS and EMS, FranklinWH is equally focused on energy management software while also providing top level service to our partners and customers. FranklinWH is expanding its global footprint, relying on an industry leading supply chain. This is an exciting time to be at a fast-growing company in a fast-accelerating industry. We are seeking a skilled Controls / Automation Engineer to support and optimize our manufacturing automation systems. This role involves PLC and HMI/SCADA programming, system commissioning, troubleshooting, and collaboration with cross-functional teams and vendors. The ideal candidate brings hands-on experience in industrial automation, strong problem‑solving skills, and the ability to support the rapid ramp‑up of our production lines. Responsibilities Resolve daily software issues and implement continuous system optimizations and upgrades to enhance production line performance and reduce dependence on the equipment manufacturer. Collaborate with the equipment vendor to ensure a thorough handover and knowledge transfer for seamless operations. Participate in equipment commissioning and familiarize with systems for the development of the second production line, supporting a smooth and rapid ramp‑up. Qualifications And Experience Bachelor's degree in Electrical, Control Systems, Mechatronics, or related engineering field. 5+ years of direct controls engineering experience in a manufacturing automation environment. Demonstrated expertise with Siemens PLCs (S7 series, TIA Portal, Safety Integrated). Experience configuring and debugging Cognex Vision Pro systems. Hands‑on experience with industrial communication protocols (Profinet, Profibus, EtherNet/IP, OPC UA). Motion control / servo drive / VFD experience and integration. Experience in KUKA/ABB robot operation and debugging. Strong knowledge of safety system logic, interlocks, electrical design, and best practices. Proven track record of commissioning, field debug, and production troubleshooting. Excellent documentation skills and ability to produce functional specifications, wiring diagrams, etc. Fluency in English and Chinese (both written and oral). Strong interpersonal skills to coordinate across engineering, operations, and supplier groups. Experience working with Chinese automation vendors. FranklinWH offers a competitive salary plus fully comprehensive benefits and a performance bonus package based on an annual objective achievement. This is a full-time position. Our generous benefits package includes: Benefits 401(k) Retirement Plan. Medical/dental/life/disability program. PTO, and sick days. Life insurance and long-term disability. FranklinWH is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. #J-18808-Ljbffr

About Skild AI At Skild AI, we're building the world's first general-purpose robotic intelligence-systems that can robustly adapt to unseen environments without failure. We believe large-scale, data-driven machine learning is the key to unlocking widespread real-world robotics deployment. Our team spans from early-career engineers to industry veterans. While experience matters, we prioritize demonstrated ability, curiosity, and execution. We're looking for engineers who are excited to tackle unsolved problems and build systems that operate at real-world scale. The Role We're seeking a Senior Automation & Controls Engineer to design and deploy advanced robotic automation systems. You will work closely with robotics and machine learning engineers to bring the Skild Brain into live production environments. You'll also help build automated systems for testing, validation, and scaling our growing robot fleet. This role sits at the intersection of AI, robotics, and industrial automation, with direct impact on real-world deployments across multiple industries. What You'll Do Design, implement, and maintain automation systems powered by Skild AI models Develop PLC- and vision-based solutions to support large-scale robotic deployment and validation Build automated testing infrastructure to improve data quality and model performance Collaborate with robotics and machine learning teams to integrate Skild's robotic stack into production environments Support real-world deployments, system tuning, and ongoing operational improvements What We're Looking For 3+ years of industry experience in automation, controls, or robotics engineering Degree in Mechanical Engineering, Electrical Engineering, Robotics, Controls, or equivalent hands‑on experience Strong hands‑on expertise with PLCs, vision systems, sensors, actuators, and full system integration Experience building, launching, and sustaining production-grade automation or robotic systems Knowledge of industrial automation standards and plant communication protocols Strong system-level understanding of robotics software stacks and module interfaces Why Skild AI Work on general‑purpose robotic intelligence at real‑world scale Deploy AI-powered automation into live production environments Collaborate with top robotics and machine learning engineers Operate in a fast-moving, execution-focused engineering culture Play a key role in scaling intelligent robotic systems globally #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 leading AI-enabled manufacturing firm in San Francisco seeks an Automation Controls Engineer to design and develop automated solutions for robotic systems. This role involves programming PLCs, analyzing customer needs, and creating system requirements. Ideal candidates have a BS or MS in Electrical or Computer Engineering and experience with Beckhoff PLCs and Python. Join a team that values creativity and innovation in transforming manufacturing processes. #J-18808-Ljbffr

A blockchain company in San Francisco is seeking a candidate to innovate the Tempo protocol and collaborate with industry experts. The ideal applicant will possess substantial experience in protocol research, particularly regarding consensus and scaling, as well as strong abilities in Solidity. This role emphasizes the design of new features while addressing privacy and efficiency, contributing to the evolution of payment solutions in the crypto space. #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

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

About the Team The Scaling team is responsible for the architectural and engineering backbone of OpenAI's infrastructure. We design and deliver advanced systems that support the deployment and operation of cutting‑edge AI models. Our work spans system software, networking, platform architecture, fleet‑level monitoring, and performance optimization. As part of the Stargate initiative, the Industrial Compute team's mission is to build and operate the foundation that powers our research and products. To deliver on this mission, there is a critical need for advanced lab infrastructure and capabilities to perform rapid prototyping, targeted and end‑to‑end testing, and system qualification across the full software and hardware stack to ensure readiness and stability for fast and smooth deployment of our large‑scale clusters. About the Role We are seeking an experienced engineer to lead advanced R&D, rapid prototyping, and build‑out of in‑house lab infrastructure to support system bring‑up, testing, and qualification for next‑generation systems. In this role, you will: You will work closely with the research, fleet, silicon, hardware health, and external vendors and partners to accelerate system qualification, increase deployment velocity, and improve platform and fleet robustness at scale. You will focus on detailed evaluation and systematic testing of early hardware, including servers, racks, NICs, switches, chips, optics, transceivers, and other lab prototype equipment. Your engineering work will span a broad range of software (systems, firmware, RDMA, collectives, cluster provisioning, orchestration, etc.) and/or hardware solutions (e.g., FPGA development) to manage lab infrastructure, support bring‑up activities and perform extensive characterizations of new hardware through microbenchmarking, fault injection, impairment modelling, localized stress testing, and end‑to‑end evaluations. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Bachelor's Degree in Computer Science or a related field Strong background in system architecture, large‑scale distributed systems and AI/HPC networking expertise (high performance multipath transport protocols, RDMA, RoCE, Infiniband) 5+ years of software development experience in C/C++ and Python Experience developing and running large‑scale distributed AI workloads Hands‑on lab experience with datacenter hardware (racks, servers, switches, NICs, accelerators, etc.) Experience with low‑level software and/or FPGA hardware development (e.g., firmware or RTL) 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 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. #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. Our team primarily works in-person out of our San Francisco and NYC offices. We like to move fast and swing for the fences - join us! The Role This person would work closely with researchers at Tempo, Paradigm, Stripe, and our design partners to invent the future of the Tempo protocol. Responsibilities Design new protocol-level features to solve problems like privacy, capital efficiency, and scaling Pressure-test ideas with the rest of the team and the community Prototype reference implementation into new features and ship into production Explain novel inventions to users, partners, and the world Qualifications Experience with protocol research on topics like consensus, scaling, cryptography, liquidity, and MEV Demonstrated experience shipping production-level features for DEXs, L1s, L2s, or other onchain products. Ability to write, test, and optimize Solidity code. Deep understanding of EVM blockchains, including features like account abstraction and gas metering Interest in using crypto to solve real-world problems around payments Attributes Razor-sharp thinker with precise command of language Concise, evidence-based storytelling ability Excellent organizational and logistical skills Intense curiosity and open-mindedness Scrappiness; willingness to roll up sleeves Growth mindset #J-18808-Ljbffr