Project engineer jobs in Dublin, CA - 8,680 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

About Commonwealth Fusion Systems: Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. Combining decades of research, top talent, and new technologies, we're designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future. We're in the best position to make it happen. Since 2018, we've raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world. Now we're looking for more thinkers, doers, builders, and makers to join us. People who'll bring new perspectives, solve tough problems, and thrive as part of a team. If that's you and this role fits, we want to hear from you. Principal Mechanical Engineer We're looking for a Principal Mechanical Engineer to join our R&D and equipment design team to help build the next generation of thin‑film deposition technology. The Principal Mechanical Engineer will be responsible for the design and implementation of advanced R&D equipment and complex machinery. This role requires strong technical expertise, procedural discipline, and the ability to collaborate across engineering and technology functions to ensure safe, reliable, and high‑performance equipment. If you enjoy working on complex design problems, mentoring others, and solving problems in a collaborative, fast‑paced environment, this is your opportunity to make an impact. What you'll do: Lead the design and implementation of advanced R&D equipment for thin‑film processing, including ownership of key mechanical modules and sub‑systems Define system level requirements and drive innovative design concepts to meet these requirements Lead design reviews for overall mechanical system and key mechanical subsystems Generate and maintain interfaces with other engineering subsystems Report on and be accountable for project progress to stakeholders Work effectively within a multi‑disciplinary team of top scientists and engineers Mentor engineering staff for effectiveness and delivery of on‑time & in‑spec outcomes Get things done: drive projects, consistently deliver, act with speed What we're looking for: Master's degree in Mechanical Engineering or related field (or equivalent industrial experience) 15+ years of experience with at least 7 years of experience working as a principal mechanical design engineer or engineering team lead in a relevant context: design and implementation of R&D systems and manufacturing equipment Ability to conceive of novel solutions for complex engineering systems in challenging environments Expertise with 3D modeling; preferred experience with SolidWorks and NX Experience with COMSOL, ANSYS or other FEA tools Ability to select and qualify vendors for components or subsystems Demonstrated ability to lead in either direct or matrix structures Strong verbal and written communication skills and a dedication to high‑quality documentation Bonus points for: Ph.D. in Mechanical Engineering or related field (or equivalent industrial experience) Prior success building first‑of‑kind or experimental tools for material science or semiconductor R&D Familiarity in applying Semi‑S8, ASME, ACI, ASTM, and other mechanical standards to design solutions Experience with the operation of equipment in a manufacturing environment Must‑have Requirements: Ability to occasionally lift up to 50 lbs Perform activities such as stooping, climbing, standing, or sitting for extended periods of time Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics Willingness to travel or work required nights/weekends/on‑call occasionally $150,000 - $225,000 a year Benefits Competitive compensation with equity 12.5 Company‑wide Holidays Flexible vacation days 10 sick days Generous parental leave policy Health, dental, and vision insurance 401(k) with employer matching Professional growth opportunities Team‑building activities #LI‑Onsite At CFS, we excel in fast‑paced environments, driven by our values of integrity, execution, impact, and self‑critique. As we grow, we're eager to bring on mission‑driven folks who offer diverse perspectives and fresh ways to tackle challenges. We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws #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

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 global technology company is looking for a seasoned software engineer to enhance AI capabilities within their observability platform. Candidates should have a strong background in AI/ML systems, cloud computing, and robust technical leadership. This role is pivotal in driving innovation in data analysis and delivering scalable solutions. The ideal candidate will thrive in an agile environment and provide mentorship to junior engineers. Enjoy competitive salaries and benefits while contributing to impactful technology solutions. #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

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

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands‑on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real‑time applications. About the role Sciforium is seeking a highly skilled Distributed Training Engineer to build, optimize, and maintain the critical software stack that powers our large-scale AI training workloads. In this role, you will work across the entire machine learning infrastructure from low-level CUDA/ROCm runtimes to high-level frameworks like JAX and PyTorch to ensure our distributed training systems are fast, scalable, stable, and efficient. This position is ideal for someone who loves deep systems engineering, debugging complex hardware-software interactions, and optimizing performance at every layer of the ML stack. You will play a pivotal role in enabling the training and deployment of next-generation LLMs and generative AI models. What you'll do Software Stack Maintenance: Maintain, update, and optimize critical ML libraries and frameworks including JAX, PyTorch, CUDA, and ROCm across multiple environments and hardware configurations. End-to-End Stack Ownership: Build, maintain, and continuously improve the entire ML software stack from ROCm/CUDA drivers to high-level JAX/PyTorch tooling. Distributed Training Optimization: Ensure all model implementations are efficiently sharded, partitioned, and configured for large-scale distributed training. System Integration: Continuously integrate and validate modules for runtime correctness, memory efficiency, and scalability across multi‑node GPU/accelerator clusters. Profiling & Performance Analysis: Conduct detailed profiling of compilation graphs, training workloads, and runtime execution to optimize performance and eliminate bottlenecks. Debugging & Reliability: Troubleshoot complex hardware-software interaction issues, including vLLM compilation failures on ROCm, CUDA memory leaks, distributed runtime failures, and kernel‑level inconsistencies. Collaborate with research, infrastructure, and kernel engineering teams to improve system throughput, stability, and developer experience. Ideal candidate profile 5+ years of industry experience in ML systems, distributed training, or related fields. Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields. Strong programming experience in Python, C++, and familiarity with ML tooling and distributed systems. Deep understanding of profiling tools (e.g., Nsight, ROCm Profiler, XLA profiler, TPU tools). Deep expertise with partitioning configuration on the modern ML frameworks such as PyTorch and JAX. Experience with multi-node distributed training systems and orchestration frameworks (DTensor, GSPMD, etc.). Hands‑on experience maintaining or building ML training stacks involving CUDA, ROCm, NCCL, XLA, or similar technologies. Nice-to-have Extensive experience with the XLA/JAX stack, including compilation internals and custom lowering paths. Familiarity with distributed serving or large‑scale inference frameworks (e.g., vLLM, TensorRT, FasterTransformer). Background in GPU kernel optimization or accelerator‑aware model partitioning. Strong understanding of low‑level C++ building blocks used in ML frameworks (e.g., XLA, CUDA kernels, custom ops). Benefits include Medical, dental, and vision insurance 401k plan Daily lunch, snacks, and beverages Flexible time off Competitive salary and equity Equal opportunity Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #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 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

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

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

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 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

A leading fusion energy company in Milpitas is seeking a Principal Mechanical Engineer to join their R&D team focused on advanced thin-film deposition technology. Responsibilities include designing R&D equipment, leading complex projects, and mentoring engineering staff. The ideal candidate will have a Master's in Mechanical Engineering, over 15 years of experience in mechanical design, and familiarity with tools such as SolidWorks and ANSYS. Competitive salary and benefits are offered, including 12.5 holidays and flexible vacation days. #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 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