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.