Senior Solutions Architect, Robotics Simulation

What you'll do

• Help robotics partners adopt, extend, and scale NVIDIA’s simulation technologies.
• Build and optimize workflows for robot rigging, physics, rendering, and synthetic data generation.
• Diagnose performance bottlenecks across simulation, rendering, and large-scale accelerated computing workloads.
• Lead technical evaluations, proofs of concept, and reference implementations to accelerate platform adoption.
• Validate hybrid methods combining physics-based simulation with neural models for sim-to-real deployment.
• Translate ecosystem needs into product feedback and roadmap priorities for internal engineering teams.

What we're looking for

• Bachelor's, Master's, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
• 5+ years of hands-on experience building robotics simulation applications.
• Deep expertise with robotics simulation platforms like Isaac Sim, MuJoCo, Gazebo, or Drake and core domains such as physics, rendering, or rigging.
• Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF.
• Proficiency in Python or C++ with experience integrating APIs and distributed software systems.
• Understanding of GPU-accelerated computing applied to robotics simulation and machine learning workflows.
• Experience with NVIDIA simulation technologies like Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp (preferred).
• Industrial manipulation background, reinforcement learning, data generation, or sim-to-real techniques (preferred).