Nvidia Senior Research Engineer Robotics Systems 

United States, California 

570104460

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;

10+ 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;

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.