Senior Research Engineer, Robotics Systems
About The Position
NVIDIA is 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. Our past projects include Eureka , VIMA , Voyager , MineDojo , MimicPlay , Prismer , and more. Your contributions will have a significant impact on our research projects and product roadmaps.
Requirements
- 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.
Nice To Haves
- 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
- Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment as well as contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL.
Responsibilities
- 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.
Benefits
- You will also be eligible for equity and benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
