NVIDIA accelerates humanoid robots’ development with the Isaac solution and GR00T blueprint. We’re now looking for robotics SA interns , especially in humanoid robotic systems to support this effort. As a robotics SA intern, 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:Pursuing Bachelor’s degree in Computer Science, Robotics, Engineering, or a related field;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 in Shanghai.Ways to stand out from the crowd:Master’s or PhD’s degree candidates 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.