NVIDIA accelerates humanoid robots' development with the Isaac solution and GR00T blueprint. We're now looking for a robotics expert, especially in simulation to support this effort. As a Solutions Architect, you'll collaborate with an exceptional and highly collaborative research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics.
What You Will Be Doing
- Develop and maintain simulation environments built on frameworks like 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, ensuring successful sim2real transfer.
- Implement Sim2Real pipelines and deploy learned models to physical robots.
What We Need To See
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field;
- 3+ years of full-time industry experience on robotics and/or physics simulation;
- Proficiency in languages such as Python, C++, and 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 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.
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