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Solutions Architect, Physical AI and Robotics

NVIDIA

🌍 North America 🏠 Remote ⏱ Part-time 💼 Senior 🗓 1 weeks ago

NVIDIA is seeking an outstanding Physical AI & Robotics Solutions Architect to join our growing Partner Enablement team. In this role, you will serve as a deep technical advisor to partners supporting customer needs in simulation, digital twins, world building, robotics, industrial autonomy, and auto. The Partner Solutions Architect team is dedicated to enabling ecosystem partners to build category-defining enterprise Physical AI systems. You will help partners use Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies. What you'll be doing: Serve as the primary technical domain expert for partners supporting robotics, physical AI, industrial autonomy, digital twins, and auto. Help partners use Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, OpenUSD, and related stacks to create simulation, digital twins, world-building, and robotics workflows. Guide partners on synthetic data generation, scenario coverage, data strategy, and evaluation methods for perception, planning, controls, and embodied AI. Use and advise on coding agents such as Codex, Claude Code, OpenClaw, or similar tools to accelerate digital twins development, asset creation, environment setup, robotics integration, and testing workflows. Define benchmark plans, cluster test recipes, validation methodologies, and sim-to-real readiness criteria. Advise on compute build-up for simulation, synthetic data generation, fine-tuning, and inference, including cluster sizing, storage, networking, latency targets, deployment patterns, and TCO. Help partners estimate inference compute requirements across edge, on-robot, and centralized deployments. Build reusable reference architectures, best-practice guides, deployment blueprints, and enablement assets that help partners deliver faster. What we need to see: MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related field...

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