NVIDIA

Robotics Software Intern, Humanoid Robotics - 2027

China, Shanghai

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hirly's read of this role

Seniority: Internship
Country: CN
Work mode: On-site / unstated
First seen by hirly: 12 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Joining the Isaac Applications Team as a Robotics Software Engineering Intern, you will help develop pioneering workflows for Physical AI robots. This role offers a unique chance to connect simulation, robot learning, and real-world deployment. You will focus on how AI agents assist developers in creating, executing, and improving end-to-end workflows that bring learned robot behaviors from simulation into real environments. If you possess solid software engineering skills, hands-on experience with physical robots, and enthusiasm for applying AI agents in robotics, we want to hear from you!

What you'll be doing:

Explore and develop agentic methods that simplify robotics development, from simulation and robot learning to deployment on physical robots.
Develop tools and workflows that assist developers in transferring learned policies from simulation to real-world applications.
Apply and validate these approaches on a humanoid reference platform, showcasing NVIDIA’s robotics technology.
Collaborate with engineers across teams to integrate robotics capabilities into practical, repeatable development workflows.

What we need to see:

Currently pursuing an MS or PhD in Computer Science, Robotics, Engineering, or a related field.
Strong Python programming skills and familiarity with C++.
Practical experience in developing, deploying, or testing software on physical robots.
Academic coursework or project experience in machine learning, control, or robotics.
Interest in applying AI agents to real-world robotics development challenges.

Ways to stand out from the crowd:

Experience developing AI agents that aid software development or automate technical workflows.
Experience in training, assessing, or transferring learned robot policies from simulation to physical hardware.
Experience with humanoid robots or mobile manipulators.
Previous internships or robotics research involving coordinated software and hardware systems.

Original posting on NVIDIA's site ↗

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