Senior Research Engineer, Robotics Systems

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

MIDDLE SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 5 Algorithms @ 3 Debugging @ 3 MLOps Python @ 5 Robotics @ 3 Rust @ 5

Details

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.

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.

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.

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.