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.