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Job at NVIDIA

Applied Research Intern, Robotics - 2027

Employer
NVIDIA
Location
China, Shanghai
Workplace
Not supplied
Employment
full-time
Published
First listed on USASI

Apply on NVIDIA’s site (external site)

This posting comes from NVIDIA’s own Workday job board. USASI checks that board twice a day and removes this page once the employer closes the posting. The description below is NVIDIA’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.

Job description

As a research intern on the embodied AI projects, you will help build the advanced robotic policies with humanoid robots for the challenging clinical environment scenes — 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.

What You Will Be Doing:

  • Bring the latest advancements in embodied AI to simulated and real humanoid robots, successfully apply research in the challenging clinical environment scenes.
  • Upstream research results — into Isaac for Healthcare where they are clinical, and into Isaac and GR00T where they generalize.
  • 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:

  • Master's degree or above in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.
  • 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.

Apply on NVIDIA’s site (external site)

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