Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Python @ 6
Algorithms @ 4
MLOps @ 4
Hiring @ 4
Rust @ 6
Debugging @ 4
AI @ 6
Robotics @ 4
- 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.
Details
NVIDIA is searching for a senior or principal engineer who specializes in robotics systems in 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. You will work with a collaborative research team producing influential work on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. Your contributions will impact 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
- Bachelor’s Degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience (advanced degrees 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, and C++.
- Experience with robotics frameworks and physics simulation (ROS; 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 (on-site requirement).
Ways to Stand Out
- Master’s or PhD in Computer Science, Robotics, Engineering, or 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.
- Contributions to popular open-source robotics frameworks or publications in top-tier conferences (ICRA, IROS, RSS, CoRL).
Compensation & Benefits
- Base salary ranges (determined by location, experience, and pay of employees in similar positions):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits.
Other Details
- Applications accepted at least until May 10, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.