NVIDIA
Senior Research Engineer, Simulation
$224K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Jan 9, 2026
- Experience
- 10+ years of full-time industry experience on robotics and/or physics simulation.
- Education
- Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field.
About the job
Develop and optimize physics simulation systems, control and teleoperation tools, and sim-to-real workflows for humanoid robotics research.
What you'll do
- Develop and maintain robotics simulation environments; implement control algorithms and XR teleoperation interfaces.
- Build procedural generation pipelines and optimize GPU-based physics simulation for large-scale training.
- Configure and validate USD robot assets, implement sim-to-real pipelines, and deploy learned models to physical robots.
What they ask for
- Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field.
- 10+ years of full-time industry experience on robotics and/or physics simulation.
- Experience with one or more physics simulators, such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
- Deep knowledge of simulation techniques and expertise in simulation assets, task definitions, and Gym-style APIs for neural network training.
Nice to have
- Master’s or PhD’s degree in a related field; experience at autonomous driving or humanoid robotics companies.
- Hands-on neural network deployment on robotic hardware, reinforcement learning, Tech Lead experience, or relevant open-source and research contributions.
Pay
224,000 USD - 356,500 USD (base salary)
Tools
MuJoCo, Isaac Lab, Isaac Sim, PyBullet, Drake, Gazebo, USD
AI focus
Supports embodied AI and humanoid robotics research, including large-scale robot learning and deployment of learned models to physical robots.
Model-written summary · the original posting is authoritative