Robotic Solution Architecture Intern - 2026 at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Robotics, Neural Networks, ROS, Physics Simulation, Gazebo, Mujoco, Isaac, Sensor Fusion, Teleoperation, Control Algorithms, Locomotion, Manipulation, Machine Learning, MLOps

Industry

Computer Hardware Manufacturing

Description

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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

You will develop and optimize control stacks for humanoid robots, including locomotion and manipulation algorithms. Additionally, you will deploy neural network models in simulation and on real hardware while maintaining teleoperation software and supporting MLOps workflows.