Mechanical Engineer in United States

What you’ll do Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification. Lead document control: reviews, approvals, training, retention, and audit readiness. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management). Prepare the program for audits and inspections, including hands-on audit leadership. What we’re looking for Senior experience leading quality for complex hardware + software products in a regulated environment. Deep familiarity with design controls, DHF, document control, risk management, and verification planning. Strong systems thinking and the ability to translate ambiguous product intent into testable requirements. Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud). Useful experience Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work. eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems 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 physical constraints of real-world systems to improve people’s lives. About Role We're a growing hardware company. As we scale, we also need a supply chain that evolves and stays nimble to the changing shape and direction our engineers designs. Today we need someone who understands the iterative process of R&D but is also ready to expand into new product introduction (NPI), and after that, high-volume manufacturing. We're hiring for where we're headed, not just where we are today. This role prioritizes judgment, adaptability, and analytical ability over years of experience alone. A strong candidate will be able to reason from first principles, quickly develop expertise in new commodities, and identify potential commercial or technical issues before they affect the program. While extensive tenure is not required, this is not an entry-level position; candidates should have a solid foundation in strategic sourcing, supplier management, and hardware manufacturing. Over time, you'll help us build out a full supply chain organization: buyers, global supply managers (GSMs), contract manufacturing leads, and specialists across categories like precision machining, gears and mechanical components, EMS/PCBA, electrical components, and contract/JDM manufacturing. Where this role goes - into a specific commodity, into people management, into ops - will depend on where you're strongest and where the business needs you most. This role is based in San Francisco, CA and requires in-person presence 4 days a week and up to 30% travel to vendor sites. In this role you will: Partner directly with engineering during R&

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 You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro

About the Team OpenAI is helping build the infrastructure that powers the next generation of artificial intelligence. Through Stargate, we are developing and operating large-scale AI compute campuses that require world-class execution across data center design, construction, commissioning, and operations. The Infrastructure Operations team is responsible for bringing AI infrastructure online and ensuring it operates reliably at scale. We partner closely with hardware, network, deployment, construction, and operations teams to deliver mission-critical environments capable of supporting frontier AI workloads. As our footprint expands, operational excellence becomes increasingly important to ensuring safe, reliable, and efficient campus operations. About the Role We are seeking a Facilities Operations Manager to support the commissioning, operational readiness, and long-term operation of next-generation AI data center campuses. This role sits at the intersection of construction, commissioning, hardware deployment, and facilities operations. You will be responsible for ensuring mission-critical infrastructure is prepared to support hardware deployment, transitioned successfully into production operations, and maintained to the highest standards of reliability and availability. You will lead day-to-day operational execution across electrical, mechanical, controls, and supporting infrastructure systems while partnering closely with commissioning teams, site operators, vendors, and engineering organizations. This role requires a strong blend of technical depth, operational leadership, and cross-functional execution. Key Responsibilities Lead day-to-day operations of mission-critical facility infrastructure across AI compute campuses. Own operational readiness activities supporting new campus deployments and infrastructure expansion. Partner with commissioning teams to transition facilities from construction and startup into steady-state operations. Develop, implement, and

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI compute infrastructure ecosystem. The InfraDev team is central to this mission, setting the strategy and executing the roadmap to scale our supercomputing footprint globally. From site planning to system integration, this team operates at the intersection of commercial, technical, and operational excellence, partnering with leaders across OpenAI and the industry. About the Role We are seeking a Strategic Sourcing Manager who is ready to take on global-scale challenges in AI compute supply and manufacturing — an opportunity to shape the future of supercomputing. As part of the Infrastructure Strategy & Delivery organization supporting Industrial Compute, OpenAI’s next-generation supercomputing platform, you will lead sourcing and strategic supplier engagements for compute infrastructure at hyperscale. This role will drive commercial strategy and supplier accountability across server platforms, accelerators, rack systems, and associated thermal & power delivery components. This is not traditional procurement — it is foundational work enabling OpenAI to deploy compute faster and more efficiently than anyone in the world, while building deeply-integrated partnerships with the global compute supply chain. Key Responsibilities Develop and execute sourcing strategies for the next generation of AI compute infrastructure in partnership with engineering and program leadership. Stay at the leading edge of industry and supply-chain trends to inform category strategy and long-range planning. Initiate, negotiate, and manage commercial agreements across OEM/ODM/JDMs for accelerators, GPUs/CPUs, server platforms, rack systems, liquid-cooling components, PSUs, and supporting mechanical/electrical subsystems. Secure capacity and optionality across a rapidly scaling compute supply chain while mitigating risk and ensuring manufacturing readiness. Partner cross-funct

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. In this role you will: Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positions, allocation risk, and capacity constraints. Drive shortage management, allocation mitigation, and recovery planning. Coordinate supply commits, forecast alignment, and supply continuity planning with suppliers and manufacturing partners. Cross-Functional Program Ma

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. WHAT YOU'LL BUILD Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase ( CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks th

About the Team The OpenAI 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 OpenAI Robotics depends on high-quality real-world robot data from a large, live operational environment. That environment has many deployed workcells, changing configurations, and little tolerance for downtime. We are seeking a Field Engineer to help keep that environment running well. You will own the day-to-day technical health of robotic workcells used in ongoing data acquisition operations, diagnose and resolve failures across hardware and software, and build the practical tools, documentation, and support workflows that make operators and technicians more effective. The work is close to the floor, close to the failure modes, and close to the research impact. This role sits at the intersection of software, robotics hardware, and live operations. The best people in it are practical, technically sharp, calm under pressure, and motivated by making real systems work reliably at scale. This role will be based in San Francisco, CA 5 days per week and offer relocation assistance to new employees. In this role, you will: Serve as an engineering owner for keeping a fleet of robotic workcells online in daily operation. Diagnose, fix, mitigate, or escalate issues spanning mechanics, electronics, controls, software interfaces, logs, and configuration. Partner closely with technicians, operators, and engineering teams to improve scalable fleet support processes. Build or spec lightweight hardware and software tools that improve monitoring, diagnostics, recovery, and handoffs. Create documentation, SOPs, and diagnostic playbooks that turn en

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale. As AI changes how software is built, we have an opportunity to rethink engineering workflows from first principles. We’re creating tools and shared systems that turn complex data, experimentation, and technical workflows into clear decisions and useful action. About the Role In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter. You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively. This role is based in our Seattle, WA or San Francisco, CA offices. We offer relocation assistance to new employees. In this role, you will: Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams. Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate. Create clear, high-craft workflows for querying, filtering, comparison, drill-d

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. The AI Studio is the team responsible for designing, building, and operationalizing internal software platforms across every functional department of the company, including People Operations, Customer Support, Sales, Marketing, Finance, Recruiting, and Executive Operations. We treat each internal department as its own product surface, and in truth as its own startup, with its own customers, its own metrics, and its own reasons for existing. We ship custom software, built on Replit’s own platform, to solve operational problems that off-the-shelf SaaS tools cannot serve well at our scale and pace of growth. Position Summary The Member of Technical Staff (AI Builder) is a full-time builder role with substantial autonomy. You will design, architect, and ship AI-powered internal platforms that run the operations of the company across many departments at once. This is not a role for someone who wants a narrow, well-defined lane. It is a role for someone who wants to walk into an ambiguous business problem, understand it well enough to argue about it with the department lead, and then ship the software that fixes it. We are looking for people who genuinely understand the mechanics of a business: how revenue is actually made, why recruiting velocity matters, what makes support scale or break, how finance closes a month, and why each department is critical to whether the company wins or loses. You do not need to have run every function, but you need to respect why each one exists and be able to reason about it like an operator, not just an engineer. Because we treat each department as its own startup, we strongly favor people who have either run their own business or worked on a fast-scaling startup. You know what it feels like

About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: Relevant exp

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Frontier Engineering (FE) Operations organization is seeking a Director, Execution Operations to run delivery at scale. Rather than operating in team-aligned silos, this function aligns to the entire business, specializing in a unique swimlane with a deep cross-functional mindset and flow. In short: this team runs delivery — think execution at scale. Reporting to the Sr. Director, Services Global Operations, you will own the end-to-end delivery operations engine — from resourcing and onboarding through ongoing capacity management — as well as the Execution mechanics that keep delivery healthy, including pricing execution, bookings support, and deal support. You will lead a team responsible for making the delivery business run with precision, predictability, and margin discipline. In This Role, You Will: Own Resource Management & Staffing: Lead resource management and staffing across the FE delivery business, ensuring the right people are matched to the right engagements at the right time. Drive Delivery Process Optimization: Continuously optimize delivery processes, removing friction and standardizing workflows so teams can execute consistently at scale. Lead Project Kickoff & Onboarding: Own project kickoff and onboarding — the backend project initiatio

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is looking for a player–coach Product Design Manager with a passion for craft, strategy, learning, and leading with empathy. You’ll join the Ad Formats Design team, managing the Performance Pod: leading a team of IC designers and partnering closely with PM, EM, PMM, and Research to shape conversion-oriented ad formats that drive meaningful performance. Your work will focus on improving long-term, high-quality conversion outcomes, avoiding ad fatigue and short-term mechanical lifts, while elevating the Pinner shopping and decision-making experience through both leading the team and take on hands-on design yourself. What you’ll do: Set the vision and point of view for the Ad Formats Performance Pod — spanning consumer-facing ad experiences, advertiser-facing creation tooling, ad formats creation, and AI automation adoption and growth — a

Mechanic - 2nd Shift — Latham, New York, United States. Apply via Workday.

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is in a unique position—we are profitable, which gives us the flexibility to invest thoughtfully as we grow. We want to build a company that scales well—not just in our product, but in how we run our GTM programs. In this role, you’ll design and evolve the systems and process that power our deal desk process. This person will help build the mechanics behind our sales-led deals: quotes, order forms, pricing, discount approvals, and contract terms. A strong candidate has run quote-to-cash at a SaaS company and can spot where the process is slow, manual, or leaky. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America (west coast). We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Own the quote-to-order-form workflow: accurate quotes, correct terms, and a clean path from verbal yes to signed and billed Build and run the deal approval and discount matrix, so Account Executives know what they can self-serve and what needs sign-off Be the single point of contact for deal structuring questions that today land on Account Executives mid-deal Partner with Finance and Legal to keep the order-to-cash process clean, controlled, and free of revenue leakage Suppo