Senior Research Engineer, Simulation
About The Position
NVIDIA is seeking a senior or principal engineer specializing in physics simulation to join the Generalist Embodied Agent Research (GEAR) group. The team leads Project GR00T, NVIDIA’s initiative to build foundation models and full-stack technology for humanoid robots. The role supports research in multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation, with contributions influencing research projects and product roadmaps. The engineer will develop and maintain robotics simulation environments, implement control algorithms and XR teleoperation interfaces, create procedural generation pipelines, optimize GPU-based physics simulators, configure and validate USD robot assets, and build Sim2Real workflows that deploy learned models to physical robots.
Requirements
- Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field.
- 10+ years of full-time industry experience in robotics and/or physics simulation.
- Proven experience with one or more physics simulators, such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
- Deep knowledge of state-of-the-art simulation techniques, including accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception.
- Expertise in generating simulation assets and task definitions, and building Gym-style APIs to support neural network training.
Nice To Haves
- Master’s or PhD degree in Computer Science, Robotics, Engineering, or a related field.
- Experience at autonomous driving or humanoid robotics companies working on physics simulation.
- Hands-on experience deploying and debugging neural network models on robotic hardware.
- Expertise in reinforcement learning and neural network training.
- Demonstrated Tech Lead experience coordinating a team of robotics engineers and driving projects from conception to deployment.
- Contributions to popular open-source simulation frameworks or research publications in top-tier conferences such as ICRA, IROS, RSS, or CoRL.
Responsibilities
- Develop and maintain simulation environments using frameworks such as MuJoCo and Isaac Lab to support robotics research.
- Implement and test control algorithms and XR teleoperation interfaces for simulated robots.
- Build procedural generation pipelines for diverse environments, object layouts, and robot motions.
- Optimize GPU-based physics simulator performance for large-scale training workloads.
- Import, configure, and validate robot assets in USD format to support successful sim2real transfer.
- Implement Sim2Real pipelines and deploy learned models to physical robots.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
