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Robotics Software Intern, Humanoid Robotics - 2027

NVIDIAOperationsPosted Oct 12, 2026Live · checked yesterday

Tech mentioned

  • Python
  • C++
Location
Shanghai, China
Workplace
On-site
Salary
Not listed
Seniority
Intern
Employment
Full-time
Team
Not specified

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.

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