Robotic Solution Architecture Intern job opportunity at NVIDIA.

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DateMore Than 30 Days Ago bot
NVIDIA Robotic Solution Architecture Intern
Experience: General
Pattern: full-time
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degreePhD
loacation China, Shanghai, China
loacation China, Shangha..........China

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.

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