Advanced engineer jobs in Mountain View, CA - 2,780 jobs

Ready to play a key role in building the future of living? Join Samara in tackling California's housing shortage and enabling people to attain sustainable housing without compromising design or quality. Our flagship product, Backyard, is a fully turnkey, premium accessory dwelling unit (ADU) designed for homeowners and real estate developers. As we expand our offerings and scale our in-house development initiatives, we're at a pivotal moment, redefining homeownership through high-quality, attainable infill housing. Backed by top-tier investors, including Airbnb, Thrive Capital, and 8VC, Samara is positioned for significant growth and market impact. As one of the first hires on the Development team, you'll also play a foundational role in defining and establishing site project management support processes, procedures, and training programs for future hires. You will work closely with the Development, Acquisitions, and Construction teams to align efforts, refine workflows, and ensure successful project delivery. Samara's development operations are lean-site staffing is small and nimble, and this role requires hands-on leadership. Ideal candidates will balance a strong technical project management background with creative, critical thinking ability that enables you to play a critical role as we scale our organization. Leadership comes at all levels. If you're passionate about building high-quality housing and strive for continuously improving field operations, we'd love to hear from you. What You'll Do Play a critical role on the Development Team supporting 6 or more ground-up projects at different stages of the project lifecycle. Support project planning and scheduling (initial timelines, revision tracking, resource allocation). Manage RFIs, submittals; support change orders, pay applications, and construction documentation systems. Manage permit submittals, ensuring completeness and accuracy with the posted AHJ requirements and address comments during revisions or resubmissions. Track budgets and costs, assist in preparing monthly budget reports and forecasts. Coordinate with subcontractors, vendors, suppliers, developers, city/inspection authorities and stakeholders on safety, permits, inspections, and project logistics. Provide onsite support: monitor quality control, safety compliance, field coordination, and assist superintendents with installation schedules. Document meeting minutes, generate daily and weekly reports, maintain logs (RFIs, submittals, change orders, correspondence). Assist procurement coordination, material tracking and logistical coordination specific to modular home assemblies. Manage quality documentation and progress photo/video capture to ensure that all work is documented for future reference. Prepare as-built, close-out requirements, and compile Homeowner handover materials setting Samara up for an efficient project completion. Think critically about process implementation and documentation to establish the road map for future hires in this role. What We're Looking For 2-4 years experience as a Project Engineer or Field/Assistant Engineer at a residential or multi‑family GC, preferably in California Experience with modular or steel-framed residential projects strongly preferred (apartment, podium, single-family) Bachelor's degree in Construction Management, Civil Engineering or related field (or equivalent experience) Familiar with software tools like Autodesk Construction Cloud, Procore, Bluebeam, MS Project, Excel, Openspace, or similar platforms Strong technical ability to read and interpret plans, specifications, and contract documents Excellent organization, communication, proactive problem-solving skills, and attention to detail Valid California driver's license; flexibility for occasional site and jurisdiction meetings Nice-to-Haves Understanding of modular workflows (transport, delivery schedules, off-site coordination) Familiarity with permitting for modular systems and related jurisdictional interfaces OSHA certifications EIT/FE or progressing toward PE licensure (not required) What We Offer Salary range of $85-115K and performance-based bonuses. Hybrid work schedule with 3 days each week in our Redwood City office. Snacks and Lunch on in-office days Early stage employee equity. Exceptional health, dental, and vision insurance. 401k eligibility after 6 months. Flexible PTO policy. How to Apply If you're excited to support Samara's mission and have the skills to match, we'd love to hear from you. Please submit your resume and a brief letter of introduction to our team. Let's build something extraordinary-together.

Atomic Semi is building a small, fast semiconductor fab. It's already possible to build this with today's technology and a few simplifications. We'll build the tools ourselves so we can quickly iterate and improve. We're building a small team of exceptional, hands-on engineers to make this happen. Mechanical, electrical, hardware, computer, and process. We'll own the stack from atoms to architecture. Our team is optimistic about the future and we want to continue pushing the limits of technology. Smaller is better. Faster is better. Building it ourselves is better. We believe our team and lab can build anything. We've set up 3D printers, a wide array of microscopes, e-beam writers, general fabrication equipment - and whatever is missing, we'll just invent along the way. Atomic was founded by Sam Zeloof and Jim Keller. Sam is best known for making chips in his garage, and Jim has been a leader in the semiconductor industry for the past 40 years. About the role As a Process Development Engineer at Atomic Semi, you'll bridge the critical interface between BEOL processing and advanced packaging, developing novel integration schemes for next-generation semiconductor devices. We're looking for someone with hands-on experience in interconnect metallization, dielectric processes, or chip-to-package connections, combined with an eagerness to push beyond conventional approaches. You'll need to digest complex technical literature while translating nanofabrication fundamentals into practical process solutions. This is a high-ownership role with lots of autonomy in a fast-moving startup environment. You'll have the opportunity to contribute to novel R&D processes and influence tool design. Candidates should have hands-on cleanroom experience and a track record of developing nanofabrication recipes from scratch, ideally across multiple process steps. Responsibilities Develop and optimize bond pad structures (e.g., UBM, RDL pads, and other interconnect schemes) for advanced packaging applications Characterize material interfaces using SEM, EDX, and electrical testing to ensure reliable chip-to-package connections Generate process specifications and transfer recipes from R&D to production Collaborate with packaging team to troubleshoot issues related to BEOL structures Analyze failure modes at the BEOL-package interface and implement corrective actions Required Experience PhD in Materials Science, Chemical Engineering, Electrical Engineering, or related field (or MS with 2+ years relevant experience) Hands-on experience with at least one BEOL process: interconnect metallization, dielectric deposition, UBM, or bond pad fabrication Understanding of chip attach processes and their interaction with BEOL structures Experience with material characterization techniques (SEM, cross-sectioning, electrical testing) Nice-to-have Experience with flip-chip, WLCSP, or advanced packaging technologies Working at Atomic Semi We're an early-stage hardware startup with solid funding, world-class advisors, and a lab/office in San Francisco, CA. Compensation: Atomic Semi is committed to fair and equitable compensation practices. The annual salary range for this role is $117,000 - $188,000. Compensation is determined based on your qualifications and experience. Our total compensation package also includes generous equity in Atomic Semi. Benefits: Atomic Semi offers the following benefits, subject to applicable eligibility requirements: Medical, Dental, and Vision insurance Generous Paid Time Off inclusive of Holidays and Sick Time Visa Sponsorship Life and Disability Insurance Paid Parental Leave 401(k) retirement plan Weekly Learning & Development opportunities Commuter Benefits including Parking and Late Night Uber rides from the office Lunches daily, Dinners 3x per week, Stocked Office Kitchen with Snacks and Spindrifts We are an equal-opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Export Control Analysis:This position involves access to technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls. #J-18808-Ljbffr

A robotics company in Sunnyvale is seeking a Machine Learning Engineer to lead the development of advanced AI systems for multipurpose humanoid robots. The role emphasizes collaboration and responsibility in creating robust learning algorithms that enable functionality across diverse environments. Ideal candidates possess a strong programming background and experience in robotic applications. Apply by submitting your resume and work examples to the provided email. #J-18808-Ljbffr

Gritt Robotics is building physical AI systems that automate the construction of renewable energy infrastructure - dramatically accelerating the global transition to clean energy. Founded by experts from Carnegie Mellon, MIT, and Stanford, and backed by top-tier VCs (early investors in Uber, Notion, and Lyft), Gritt is at the forefront of climate-impact robotics innovation. We are looking for a Lead Robotics AI Engineer to join our early team and play a foundational role in developing intelligent, autonomous robots that operate in complex, unstructured outdoor environments. This role is ideal for someone passionate about robotics, eager to work hands‑on, and ready to lead technical development in a high‑impact, mission‑driven startup. What You'll Do Design, develop, and deploy state‑of‑the‑art AI systems for robotic manipulation and navigation Drive AI architecture decisions in perception, planning, and control Build and optimize simulation‑driven training and validation pipelines Work across sensor modalities including vision, LIDAR, and tactile sensing Improve model performance in challenging outdoor conditions and on real hardware Optimize training and inference for GPU environments Collaborate with cross‑functional engineering teams and grow into leadership roles What We're Looking For M.S. or Ph.D. in Robotics, Computer Vision, Machine Learning, or a related field - or equivalent experience 4+ years of hands‑on experience developing and deploying AI solutions in robotics (manipulation, navigation, or similar) Deep expertise in computer vision, machine learning, deep learning, or reinforcement learning Familiarity with techniques like VLMs, deep RL, and imitation learning Proficient in Python and modern frameworks such as PyTorch Comfortable working autonomously and taking ownership in fast‑paced environments Strong analytical, debugging, and problem‑solving skills Must be legally authorized to work in the U.S. Why Gritt Tackle some of the hardest problems in robotics with climate‑impacting outcomes Join a deeply technical founding team and grow into key leadership roles Competitive salary, equity, and full health/vision/dental coverage Build the future of physical AI for a sustainable planet #J-18808-Ljbffr

A robotics technology company based in San Francisco is seeking a Machine Learning Engineer to lead the development of autonomous capabilities using Vision-Language-Action models. This role involves designing data collection pipelines, building data processing systems, and deploying models to edge devices. The ideal candidate has over 3 years of hands-on experience in ML, particularly in robotics or computer vision. Join us to shape the future of automated labor and transform industries with innovative robotic solutions. #J-18808-Ljbffr

Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite - it's your talent and determination that truly count. We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. Our Culture We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here ****************************** . Who should join: You like working in person with a team in San Francisco. You deeply believe that this is the most important mission for humanity and needs to happen yesterday. You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well. You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it. You don't need someone to motivate you; you get things done. Why are We Hiring for this Role: Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots. Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation. Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software. Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization. Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability. Contribute to the continuous development of our in-house RL training pipelines and tooling. 2+ years of experience in reinforcement learning applied to robotics or control systems. Strong understanding of classical and modern control theory, locomotion dynamics, and optimization techniques. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet). Proficiency in Python and/or C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. What Kind of Person We Are Looking For: 2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments. Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab). Proficiency in Python and C++ for algorithm development and deployment. Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow). Familiarity with ROS/ROS2 and real-time robotic systems. Experience deploying RL algorithms on physical robots. Experience with high-performance computing for distributed training. Contributions to open-source RL or robotics projects. M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field. We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. The annual compensation is expected to be between $80,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location. #J-18808-Ljbffr

A leading AI research company in San Francisco seeks a Simulation Realism Engineer. In this hands-on role, you will define and operationalize realism metrics for robotics simulation. You will fine-tune engine parameters and evaluate third-party physics engines to align simulations with real-world dynamics. Collaborate across teams to close gaps between simulation and reality, contributing to cutting-edge robotics research and product development. Relocation assistance available. #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

Eridu AI is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate training and inference for large-scale AI models. Today's AI performance is frequently limited by system-level bottlenecks. Eridu AI delivers multiple industry-first innovations across semiconductors, software, and systems to unlock greater GPU utilization, reduce capital and power costs, and maximize data center efficiency. The company's solutions and value proposition have been validated by several leading hyperscalers. The company is led by a veteran team of Silicon Valley executives and engineers with decades of experience in state-of-the-art semiconductors, optics, software, and systems, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (World's leading micro-LED company and developer of the first augmented reality contact lens). Position Overview We are hiring multiple positions from Sr. Engineer to Principal Engineer. We are looking for a highly experienced Post-Silicon ASIC Validation Engineerwith deep expertise in networking ASICs and chiplet-based architectures. You will lead bring-up, validation, and characterization of complex multi-die systems integrating high-speed interconnects such as UCIe, SerDes, PCIe, and Ethernet PHYs. This position offers the opportunity to work on next-generation networking SoCs and disaggregated chiplet platforms, collaborating across architecture, design, firmware, and system teams to ensure first-silicon success and robust product readiness. Responsibilities Drive post-silicon validationand bring-upof networking ASICs and chiplet-based SoCs. Own validation planning, coverage definition, and test execution across UCIe, SerDes, and networking subsystems. Develop automation and test infrastructurefor high-speed link and protocol validation (Python). Perform silicon bring-up, including power sequencing, link training, and PHY initialization. Execute link-level and system-level validationof UCIe interfaces, die-to-die interconnects, and high-bandwidth chiplet fabrics. Debug complex cross-domain issuesspanning RTL, firmware, analog PHY, and package-level interactions. Characterize signal integrity, latency, throughput, and thermal/power behavioracross PVT corners. Collaborate with board design and test engineeringteams on validation platforms, sockets, and characterization boards. Qualifications B.S. or M.S. in Electrical Engineering, Computer Engineering, or related field. Experience in post-silicon validation and bring-upof complex ASICs or SoCs. Hands-on experience with UCIe, PCIe and high-speed interconnect standards. Proficiency in Python for scripting, automation, and data analysis. Strong lab experience using oscilloscopes, BERTs, logic analyzers, and JTAG-based debuggers. Excellent communication skills and experience working in cross-functional silicon development teams. Preferred Qualifications Experience with chiplet-based systems, UCIe protocol stack validation, and multi-die integration challenges(power delivery, timing, thermal). Familiarity with emulation or FPGA prototyping platforms for pre-silicon validation. Exposure to hardware/software co-validationfor networking protocols or control-plane software. Strong knowledge of package-level interactionsand signal integrity analysisfor high-speed interfaces. Why Join Us? At Eridu AI, you'll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI networking solutions, transforming data center capabilities. The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles. The pay range for this role is: 185,000 - 250,000 USD per year (San Francisco Bay Area) #J-18808-Ljbffr

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

Handshake is recruiting Electronics Engineer professionals to contribute to an hourly, temporary AI research project-but there's no AI experience needed. In this program, you'll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model's understanding of your workplace tasks and language. The Handshake AI opportunity runs year‑round, with project opportunities opening periodically across different areas of expertise. Details The position is remote and asynchronous; work independently from wherever you are. The hours are flexible, with no minimum commitment, but most average 5‑20 hrs. The work includes developing prompts for AI models that reflect your field, and then evaluating responses. You'll learn new skills and contribute to how AI is used in your field. Your placement into a project will be dependent on project availability-if you apply now and can't work on this project, more will be available soon. Qualifications You have at least 4 years of professional experience in one or more of the following types of work. The examples below reflect the types of real‑world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high‑quality AI models Design and develop electronic components and systems for various applications, ensuring technical adequacy and compatibility. Operate specialized software for engineering tasks and provide technical support to staff or customers. Evaluate and recommend modifications to enhance performance, considering factors like cost and system capabilities. You're able to participate in asynchronous work in partnership with leading AI labs. Application Process Create a Handshake account Upload your resume and verify your identity Get matched and onboarded into relevant projects Start working and earning Work authorization information F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI. #J-18808-Ljbffr

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

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

A pioneering robotics company in San Francisco is seeking a Forward Deployed Robotics Engineer. This hands-on role involves owning customer projects from start to finish, collaborating closely with scientists to create innovative robotic solutions. Candidates should have 1-3 years of experience in robotics systems, strong problem-solving skills, and a degree in a related field. The position is 100% onsite, emphasizing the need for a dedicated team player ready to contribute to groundbreaking research and development. #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

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 semiconductor startup in San Francisco is seeking a Process Development Engineer to bridge BEOL processing and advanced packaging. The ideal candidate will possess a PhD in a relevant field, experience with BEOL processes, and hands-on experience in material characterization. This role offers a competitive salary and generous benefits, and you'll contribute to groundbreaking R&D efforts in a fast-paced startup environment. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

A robotics innovation firm in San Francisco is seeking talented engineers to design custom electronics for advanced robotic systems. The ideal candidate has a proven track record in embedded systems and sensor integration, along with strong firmware skills in C/C++. With a focus on innovation, the role involves collaborating with diverse teams to develop cutting-edge technologies. The annual compensation ranges from $150,000 to $300,000, based on experience and skills. Join us and contribute to a mission that prioritizes humanity's future. #J-18808-Ljbffr