NVIDIA accelerates humanoid robots’ development with the Isaac solution and GR00T blueprint. We’re now looking for a robotics expert, especially in humanoid robotic systems to support this effort. As a Solutions Architect, you’ll collaborate with an exceptional and highly collaborative research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, pushing the frontier of humanoid robotics.

What you will be doing:

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;

Design and maintain teleoperation software for controlling humanoid robots with low latency and high precision;

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 MLOps lifecycle.

What we need to see:

Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field;

3+ 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, 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 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 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.