INTERNSHIP DETAILS

Applied Research Intern, Robotics - 2027

CompanyNVIDIA
LocationShanghai
Work ModeOn Site
PostedOctober 13, 2026
Internship Information
Core Responsibilities
You will develop advanced robotic policies for humanoid robots in clinical environments using sim-first development and real-world deployment. The role involves collaborating on NVIDIA robotics products and integrating research results into platforms like Isaac and GR00T.
Internship Type
full time
Company Size
52810
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
About the Role

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.

Key Skills
RoboticsEmbodied AIPythonPyTorchReinforcement LearningVLASim2real transferTeleoperationSynthetic data generationDomain randomizationEdge AIHumanoid robotsIsaac SimIsaac LabJetson ThorIsaac GR00T
Categories
TechnologyScience & ResearchEngineeringSoftwareData & Analytics