1 day ago
Shanghai, ChinaIntern
Responsibilities
- Apply embodied AI research to simulated and real humanoid robots in clinical environments.
- Upstream research results into Isaac for Healthcare, Isaac, and GR00T.
- Build sim-first robot policies using SimReady digital twins and reduce the sim-to-real gap.
- Integrate NVIDIA robotics products including Jetson Thor, Isaac GR00T, Cosmos, and Isaac Sim/Lab into research work.
- Develop, deploy, and test software on real humanoid robots.
- Address practical research challenges and collaborate across teams.
Requirements
- Master's degree or above in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.
- Experience with robotic policy development from lab to launch, including teleoperation, synthetic data generation, domain randomization, VLA and reinforcement learning post-training, sim-to-real transfer, and deployment with edge AI platforms.
- Familiarity with current VLA and reinforcement learning algorithms and embodied AI research.
- Proficiency in Python and PyTorch.
- Ability to learn new programming languages and robot SDK tools as needed.
- Strong problem-solving, communication, and cross-functional collaboration skills.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.