Solutions Architect, Physical AI and Robotics

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 fields (or equivalent experience).

• 5+ years of relevant experience developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment, as a Robotics Engineer, Autonomy Engineer, Solutions Architect, Research Engineer, or similar technical role

• Strong experience in robotics, simulation, autonomy, physical AI, digital twins, or embodied AI systems.

• Familiarity with world building, synthetic data generation, evaluation, and sim-to-real workflows.

• Experience with Omniverse, Isaac Sim, Isaac Lab, Cosmos, ROS2, Mujoco, Gazebo, OpenUSD, or comparable tooling.

• Comfort using coding agents productively in technical workflows. Strong software engineering skills in Python plus C++ or Rust.

• Experience with digital twins development using coding agents to accelerate asset creation, environment setup, or Cosmos-style world-building workflows.

• Familiarity with CUDA, GPU systems, inference performance, and latency-sensitive deployment constraints.

• Experience with benchmarking, cluster testing, performance validation, or compute planning for robotics, autonomy workloads.

• Excellent communication skills and the ability to act as a deep technical advisor to partners and customers.

Ways to stand out from the crowd:

• Built simulation workflows, digital twins, synthetic data systems, or benchmark suites used by external teams or customers.

• Strong familiarity with Omniverse, OpenUSD, Cosmos, or embodied AI toolchains.

• Experience with edge inference, real-time systems, hardware-in-the-loop testing, or safety-critical validation.

• Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.

• Comfortable translating robotics and simulation requirements into cluster sizing, deployment plans, and TCO guidance.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.