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Applied Research Intern, Robotics - 2026

External
NVIDIA logoNvidia · Shanghai, China
ContractOn-siteToday
PythonPyTorchiOS
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Responsibilities

  • Bring the latest advancements in embodied AI to simulated and real humanoid robots, successfully apply research in the challenging industrial scenes, like healthcare scenarios.
  • Build sim-first robot policies with SimReady digital twin and minimize the sim2real gap.
  • Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, Cosmos, and Isaac Sim/Lab into the research work.
  • Take on a variety of challenges, solve practical research topics.
  • Deploy and test the developed software on real humanoid robots.
  • What we need to see:
  • Pursuing Master's degree or above in Robotics, Computer Science, Engineering, or a related field.
  • Skilled at robotic policy development workflow, from lab to launch: teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, deployment with edge AI platforms.
  • Familiar with the latest research work in VLA and RL algorithms.
  • Proficiency in Python, PyTorch. Willingness to learn new languages and robot SDK tools as needed.
  • Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.
  • Strong problem-solving skills and the ability to determine the best approach to complex challenges.
  • Excellent communication skills and a collaborative approach to working effectively with diverse teams.
  • Ways to Stand out from The Crowd:
  • Familiarity with the latest embodied AI research work.
  • Experience with VLA / Reinforcement Learning.
  • Experience with humanoid robots.
  • Familiarity with NVIDIA robotics products such as Jetson, Isaac GR00T, Cosmos, and Isaac Sim/Lab.

Additional Information

As a research intern on the embodied AI projects, you will help build the advanced robotic policies with humanoid robots for the challenging industrial scene - enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong research skills for robotics.


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