Senior Research Engineer, Robotics Systems

What you'll do

• Design and maintain low-latency, high-precision teleoperation software for humanoid robots.
• Develop and optimize control stacks for locomotion, manipulation, and whole-body control.
• Deploy and evaluate neural network models in physics simulations and on real hardware.
• Implement tools and processes for robot maintenance, diagnostics, and troubleshooting.
• Monitor teleoperators and develop quality assurance workflows for high-quality data collection.
• Manage the full MLOps lifecycle including model training and data processing.

What we're looking for

• Bachelor’s Degree in Computer Science, Robotics, Engineering, or a related field or equivalent experience.
• 8+ years of full-time industry experience in robotics hardware or software full-stack.
• Hands-on experience deploying and debugging neural network models on robotic hardware.
• Ability to implement real-time control algorithms, teleoperation stack, and sensor fusion.
• Proficiency in Python, Rust, C++, ROS, and physics simulation tools like Gazebo, Mujoco, or Isaac.
• Experience maintaining and troubleshooting robotic mechanical, electrical, and software components.
• Ability to 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 (preferred).
• Experience at autonomous driving or humanoid robotics companies on real hardware deployment (preferred).
• Experience in robot hardware design (preferred).
• Demonstrated Tech Lead experience or contributions to popular open-source robotics frameworks or top-tier research publications (preferred).