Applied Research Intern, Robotics - 2027

NVIDIA is hiring an Applied Research Intern, Robotics - 2027 in Shanghai, China. Level rates it ; you can apply on Level.

AI in this role

Develops advanced robotic policies and embodied AI systems for humanoid robots in clinical environments.

pytorchpythonjetsonisaacros

ai-researchroboticsreinforcement-learningcomputer-visionmachine-learning

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.

How we rate this

Applied Research Intern, Robotics - 2027 at NVIDIA rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Applied Research Intern, Robotics - 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on October 13, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchRoboticsReinforcement learningComputer visionMachine learningPyTorchPythonJetson

Questions you could be asked

Tell me about a research question you investigated. What did you find?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where reinforcement learning was part of your work. What did you do?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Research, Robotics, Reinforcement learning, Computer vision, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get a free CV review Check your resume with the ATS resume checker