Senior mechanical engineer jobs in Dublin, CA - 6,242 jobs

Cupertino, California, United States At Apple we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands‑on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward‑thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our SoC design machine learning efforts, collaborating right alongside our internal multi‑functional teams, and using your expertise in machine learning to improve productivity and optimizations across several SoC design related functions spanning from design to validation. Description As a member of the SoC design machine learning team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products. Your expertise in machine learning will be instrumental in optimizing for efficiency, quality and speed for our chip‑design process. You'll play a crucial role in developing generative AI and machine learning solutions for optimizations in RTL Design, Verification, and Power/Performance/Area efforts. You will collaborate closely with our internal multi‑functional teams as well as the AIML organization at Apple to understand domain‑specific needs and tailor machine learning solutions to these domains. As part of this role, you will keep abreast of emerging technologies in machine learning and chip design to ensure our solutions remain state‑of‑the‑art. Prior leadership experience is a plus. Minimum Qualifications Minimum of BS + 3 years relevant industry experience. Preferred Qualifications Practical experience and knowledge of generative AI and modern machine learning methods. Experience with any of the following: RAG systems including embedding models, retrieval strategies, and context optimization techniques. Generative AI pipeline development. AI evaluation and testing proficiency including designing test suites and implementing human evaluation frameworks. Experience with AI coding assistants. Experience with AI infrastructure protocols such as MCP. Experience with deep neural networks and reinforcement learning is a plus. Solid math background and understanding of algorithms and data structures. Experience with current deep learning frameworks, such as PyTorch, TensorFlow, JAX or MLX. Experience with hardware description languages like Verilog, SystemVerilog or VHDL. Experience with Chip design and verification front end flows is a plus: Working verification experience with UVM testbenches. Working experience with front‑end tools such as Static timing analysis and CDC/RDC. Strong communication and collaboration skills, with the ability to work efficiently in cross‑functional teams. Master's or PhD with relevant publications preferred but not required. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading semiconductor company in San Jose is seeking a Staff Power Module Design Engineer. You'll develop innovative power module products and collaborate with industry experts. The role requires a strong educational background in Power Electronics and significant experience in switching power converter design. This position offers competitive pay within a vibrant engineering team, fostering professional growth and mentorship opportunities. #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

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

Are you ready to join a growth-oriented team where creativity meets innovation? At Ware Malcomb, we are a dynamic and forward-thinking design firm committed to pushing the boundaries. Our team-oriented, collaborative approach ensures that every project is a blend of visionary design and seamless project delivery, and we are actively engaged with both the community and the industry. Discover our vibrant culture to get an inside look into life at Ware Malcomb and the programs we offer. Life at Ware Malcomb. As a Project Engineer at Ware Malcomb, you will support the delivery of innovative mechanical engineering projects from concept through construction. You will assist in preparing mechanical design reports and calculations, perform code research, develop complete sets of construction documents, and provide construction services such as site visits. This is a great opportunity to collaborate with clients, consultants, contractors, and our dynamic team while advancing your career in mechanical engineering. Responsibilities Complete computer and hand calculations supporting the mechanical design utilizing the applicable building and material codes while maintaining a high level of accuracy and attention to detail throughout all phases of the project. Prepare and oversee the development of models, calculation packages, construction documents, and specifications. Collaborate with Project Managers, Senior Project Managers and department managers to plan project layouts and integrate mechanical elements into cohesive designs. Participate in internal and external project meetings, coordinating with other disciplines. Conduct field work including site verifications, assessments, and troubleshooting. Perform construction administration duties, including periodic site visits to ensure compliance with design intent. Support the development and maintenance of engineering standards. Participate in quality assurance and quality control process within the team. Mentor the team in the use of mechanical calculation software and assist in task organization. Lead and coordinate mechanical engineering projects as Engineer of Record (EOR) when assigned. Conduct peer reviews and prepare reports on findings. Qualifications Bachelor's degree in Mechanical Engineering from an ABET-accredited program Professional Engineer (PE) license required 5+ years of experience in a mechanical engineering role Proficiency in Revit required Experience in Plumbing and Fire Protection design is highly preferred Strong communication, organizational, and analytical skills Ability to manage multiple priorities and provide technical guidance to team members Ability to provide timely, dependable, and professional service in a fast-paced environment Strong grasp of advanced financial concepts, with proven ability to perform intermediate calculations and conduct in-depth financial analysis Compensation: $100,000 - $135,000 a year. Read more about Life at Ware Malcomb. The final agreed upon compensation is based on individual education, qualifications, experience, licensing, project specialty/complexity and work location. At Ware Malcomb, certain roles are bonus eligible. Established in 1972, Ware Malcomb is a dynamic, forward-thinking commercial real estate design firm providing professional architecture, planning, interior design, civil engineering, branding, building measurement, structural engineering and MEP services to clients throughout the world. With office locations throughout the United States, Canada, Mexico and Brazil, the firm specializes in the design of office, industrial, science & technology, healthcare, multifamily, retail, and public/institutional projects. For six consecutive years, Ware Malcomb has been ranked as the #1 Industrial Sector Architecture Firm by Building Design + Construction Magazine. The firm is also ranked among the top 10 Architecture/Engineering firms in Engineering News-Record\'s Top 500 Design Firms and the Top 30 Interior Design Firms in Interior Design magazine\'s Top 100 Giants. For more information, visit Ware Malcomb.com. #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 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 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 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

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

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and talented engineer. As a member of our team, you will have the opportunity to craft and implement methodologies with high impact on upcoming products that will delight millions of Apple's customers. In this role, you will be involved in our physical design machine learning efforts, collaborating with internal teams, and using your expertise to ensure that our SOCs achieve optimal Power, Performance, and Area (PPA). Description As part of the physical design machine learning architecture team, you will work on building efficient application processors for Apple products. Your experience in physical design and machine learning will help solve complex problems across RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, and manufacturing/yield considerations. You will collaborate with design, power, post silicon, CAD, software, and machine learning teams in a dynamic environment. Minimum Qualifications Bachelor's degree and 3+ years of relevant industry experience. Understanding of optimization algorithms, data structures, and linear algebra. Knowledge of VLSI fundamentals, including physical design. Preferred Qualifications Experience with advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, LLMs. Programming skills in Python and C/C++. Master's or PhD with relevant publications in Machine Learning or EDA algorithms. Strong communication and organizational skills. At Apple, compensation includes base pay within a range depending on skills and experience, along with stock programs, benefits, and educational reimbursement. The role may also be eligible for bonuses, commissions, or relocation support. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. #J-18808-Ljbffr

A global semiconductor company in San Jose is seeking a Principal Power Module Design Engineer. This role involves new product development in power electronics, requiring at least a master's or Ph.D. in Power Electronics and 5+ years of experience in related design. Applicants should possess strong skills in switching power converter design and analog circuit design. The position offers competitive compensation, a collaborative environment, and opportunities for professional growth. #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 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

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 Jose is looking for a recent graduate or PhD candidate for an AI/ML development role. The position requires backend development skills in Go or Python and understanding of LLM infrastructure. Candidates should be ready to collaborate with cross-functional teams, optimizing models for real-world deployment. This role offers competitive salary ranges based on location, benefiting from Cisco's extensive employee perks and growth opportunities. #J-18808-Ljbffr

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions - from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands‑on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines). This role is based in San Francisco, CA. This role will require 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: Define and operationalize realism metrics & protocols. Design experiments and automated tests to find specific areas of non‑realism, quantify gaps, and track regressions over time. Fine‑tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality. Evaluate, integrate, and - where necessary - extend 3rd‑party physics, rendering, and sensor simulation engines (e.g., Isaac, PhysX, MuJoCo, video renderers or sensor sim frameworks). Lead vendor POCs and benchmark features to influence roadmaps. Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties; implement semi‑ or fully‑automated pipelines to tune and optimize assets for target engines. Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations (batching many runs per engine instance), and harden real‑world‑facing pipelines so sims can run reliably at scale. Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance. Document and scale best practices. Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly. You might thrive in this role if you: Have a strong mathematical & physics background - rigid/soft‑body dynamics, contact mechanics, or FEA - and are comfortable reasoning about solvers and numerical stability. Have hands‑on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent), and know how to measure/interpret their failure modes. Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real‑time loading, and rendering pipelines. Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware‑in‑the‑loop regression tests, or digital twin efforts. Experienced building robust tools and processes - CI for sims, asset validation pipelines, or distributed GPU workloads - and care about documentation and ergonomics that let others be productive. Can collaborate broadly: you want to work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps. 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 Affine 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

A leading technology company in San Jose is seeking a skilled engineer to develop applications based on generative AI models such as GPT-4. This role involves collaborating with cross-functional teams to optimize performance and ensure reliability, as well as engaging in cutting-edge AI developments. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and deep knowledge of machine learning methodologies. Competitive compensation, benefits, and opportunities for growth will be offered. #J-18808-Ljbffr