{"schemaVersion":"jobsearcher.job.v1","id":"97b06f0b89c3f17a7bcfe362","url":"https://jobsearcher.com/jobs/97b06f0b89c3f17a7bcfe362","canonicalUrl":"https://jobsearcher.com/jobs/97b06f0b89c3f17a7bcfe362","title":"Platform Engineer III","description":"Platform Engineer III\nCity and County of San Francisco, California\nJob Summary\n\nPhysical AI Engineer (Robotics & Agentic Systems)\n\nWe are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.\n\nKey Responsibilities\n\nKey Responsibilities\n\n• Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.\n\n• Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.\n\n• Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.\n\n• Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic \"Skills\" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).\n\n• System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.\n\nSkill Requirements\n\nTechnical Requirements\n\nCategory Stack Components\n\nFoundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER\n\nSoftware Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python\n\nCompute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs\n\nPhysics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration\n\nData & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)\n\nMaximum Salary (US): 170000\nMinimum Salary (US): 140000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","company":"HCLTech","rawCompany":"hcltech","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-09T09:19:12.301Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Platform Engineer III","description":"Platform Engineer III\nCity and County of San Francisco, California\nJob Summary\n\nPhysical AI Engineer (Robotics & Agentic Systems)\n\nWe are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.\n\nKey Responsibilities\n\nKey Responsibilities\n\n• Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.\n\n• Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.\n\n• Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.\n\n• Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic \"Skills\" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).\n\n• System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.\n\nSkill Requirements\n\nTechnical Requirements\n\nCategory Stack Components\n\nFoundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER\n\nSoftware Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python\n\nCompute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs\n\nPhysics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration\n\nData & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)\n\nMaximum Salary (US): 170000\nMinimum Salary (US): 140000\n#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-","datePosted":"2026-09-09T09:19:12.301Z","dateModified":"2026-09-09T09:19:12.301Z","hiringOrganization":{"@type":"Organization","name":"HCLTech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"97b06f0b89c3f17a7bcfe362"},"url":"https://jobsearcher.com/jobs/97b06f0b89c3f17a7bcfe362"}}