Description
We are searching for a senior or principal engineer who specializes in robotics systems in the Generalist Embodied Agent Research (GEAR) group. Our team is leading Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation.
Your responsibilities will include:
- Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;
- Develop and optimize the control stack, including locomotion, manipulation, and whole-body control algorithms;
- Deploy and evaluate neural network models in physics simulation and on real humanoid hardware;
- Implement tools and processes for regular robot maintenance, diagnostics, and troubleshooting to ensure system reliability;
- Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data collection;
- Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.
To succeed in this role, you will need:
- A Bachelor’s Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience; advanced degrees are helpful;
- 8+ years of full-time industry experience in robotics hardware or software full-stack;
- Hands-on experience with deploying and debugging neural network models on robotic hardware;
- Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion;
- Proficiency in languages such as Python, Rust, C++, and experience with robotics frames (ROS) and physics simulation (Gazebo, Mujoco, Isaac, etc.);
- Experience in maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components;
- Physically work on-site at NVIDIA HQ on all business days.
If you have a Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field, experience at autonomous driving or humanoid robotics companies on real hardware deployment, experience in robot hardware design, or demonstrated Tech Lead experience, you will be able to stand out from the crowd.