Senior Solutions Architect, Robotics Simulation

What you'll do

• Build and optimize simulation workflows for physics, rendering, sensor simulation, and synthetic data generation.
• Diagnose performance and integration bottlenecks; lead technical evaluations, proofs of concept, workshops, and reference implementations.
• Validate approaches combining physics-based simulation and neural models, and collaborate with internal teams and partners on product feedback and adoption.

What they ask for

• BS, MS, 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 and core simulation domains.
• Familiarity with ROS 2 and robotics description formats such as OpenUSD, URDF, or MJCF; proficiency in Python or C++; understanding of GPU-accelerated computing.

Nice to have

• Hands-on knowledge of NVIDIA simulation technologies such as Isaac Sim, Newton, PhysX, RTX, or NVIDIA Warp.
• Experience with Isaac Lab, large-scale reinforcement learning, data generation, manipulation, or simulation-to-real techniques.

Pay

152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)

Tools

Isaac Sim, MuJoCo, Gazebo, Drake, ROS 2, OpenUSD, URDF, MJCF

AI focus

Applies Physical AI methods, including neural models, learned-policy workflows, and machine learning, to robotics simulation and sim-to-real deployment.