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 , 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. 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 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. 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 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. 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 the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
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.
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;
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonrust

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