NVIDIA
Robotics
SeniorResearchEngineer,RoboticsSystems
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“Senior Research Engineer, Robotics Systems at NVIDIA. Skills: Robotics Systems, Foundation Models, Embodied AI, Large-scale robot learning, Physics simulation, MLOps. Design and maintain teleoperation software for controlling humanoid robots with low latency and high. Develop and optimize the control stack, including locomotion, manipulation, and whole-body control”
What You'll Achieve.
Produce influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation; Significant impact on our research projects and product roadmaps
Industry & Context.
Physically work on-site at NVIDIA HQ on all business days
What They're Looking For.
Must Have
Bachelor's Degree in Computer Science, Robotics, Engineering, or a related field or equivalent advanced degrees, 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, Ability to implement real-time control algorithms, teleoperation stack, and sensor, Proficiency in languages such as Python, Rust, C++, experience with robotics frames (ROS), experience with 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 Have
Master's or PhD’s degree in Computer Science, Robotics, Engineering, or a related, Experience at autonomous driving or humanoid robotics companies on real hardware, Experience in robot hardware, Demonstrated Tech Lead experience, coordinating a team of robotics engineers and driving projects from conception to deployment, contributions to popular open-source robotics frameworks or research publications in top-tier conferences, such as ICRA, IROS, RSS, CoRL
What You'll Do.
Design and maintain teleoperation software for controlling humanoid robots with low latency and high
Develop and optimize the control stack
and whole-body control
Deploy and evaluate neural network models in physics simulation and on real humanoid
Implement tools and processes for regular robot maintenance
and troubleshooting to ensure system
Monitor teleoperators at the lab and develop quality assurance workflows to ensure high-quality data
Collaborate with researchers on model training
and the full MLOps lifecycle
How You'll Work.
Team & Collaboration
Collaborate with researchers on model training, data processing, and the full MLOps lifecycle; coordinating a team of robotics engineers and driving projects from conception to deployment
Process & Methodology
driving projects from conception to deployment
Full Job Description
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](https://developer.nvidia.com/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[ ](https://voyager.minedojo.org/)[Eureka](https://eureka-research.github.io/),[ VIMA](https://vimalabs.github.io/),[ ](https://mimic-play.github.io/)[Voyager](https://voyager.minedojo.org/),[ MineDojo](http://minedojo.org/),[ ](https://eureka-research.github.io/)[MimicPlay](https://mimic-play.github.io/),[ Prismer](https://github.com/NVlabs/prismer), and more. Your contributions will have a significant impact on our research projects and product roadmaps. **What you will be doing:** * 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. **What we need to see:** * 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 dep
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