Senior Research Engineer, Robotics Systems

at Nvidia

📍 Santa Clara, United States

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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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 Algorithms @ 6 Debugging @ 4 MLOps Python @ 6 Robotics @ 4 Rust @ 6

Details

NVIDIA is seeking a senior or principal engineer specializing in robotics systems for the Generalist Embodied Agent Research (GEAR) group. The team leads Project GR00T, NVIDIA’s initiative to build foundation models and full-stack technology for humanoid robots. The group conducts research in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, with projects including Eureka, VIMA, Voyager, MineDojo, MimicPlay, and Prismer.

Responsibilities

Design and maintain low-latency, high-precision teleoperation software for controlling humanoid robots.
Develop and optimize control stacks, 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 in the lab and develop quality assurance workflows for high-quality data collection.
Collaborate with researchers on model training, data processing, and the full MLOps lifecycle.

Requirements

Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience; advanced degrees are helpful.
8 or more years of full-time industry experience in robotics hardware or full-stack software.
Hands-on experience deploying and debugging neural network models on robotic hardware.
Ability to implement real-time control algorithms, teleoperation stacks, and sensor fusion.
Proficiency in languages such as Python, Rust, and C++.
Experience with robotics frameworks such as ROS and physics simulation platforms such as Gazebo, MuJoCo, or Isaac.
Experience maintaining and troubleshooting robotic systems, including mechanical, electrical, and software components.
Ability to work physically on-site at NVIDIA headquarters on all business days.

Preferred Qualifications

Master’s or PhD in Computer Science, Robotics, Engineering, or a related field.
Experience at autonomous driving or humanoid robotics companies involving real hardware deployment.
Experience in robot hardware design.
Tech lead experience coordinating robotics engineers and driving projects from conception to deployment.
Contributions to open-source robotics frameworks or research publications at conferences such as ICRA, IROS, RSS, or CoRL.

Compensation and Benefits

Base salary range of $184,000–$287,500 for Level 4.
Base salary range of $224,000–$356,500 for Level 5.
Eligibility for equity and benefits.
Applications accepted at least until August 4, 2026.
NVIDIA is an equal opportunity employer and uses AI tools in its recruiting processes.