- 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;
- 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, such as accurate contact dynamics for manipulation and locomotion, and photorealistic rendering for perception.
- Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training.
Ways to stand out from the crowd
- Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field;
- Experience at autonomous driving or humanoid robotics companies on physics simulation;
- Hands-on experience with deploying and debugging neural network models on robotic hardware;
- Expertise at 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, CoRL.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.