Technical Learning Content Development Intern, Physical AI — Summer 2027
Core
Create developer-friendly hands-on learning content (tutorials, labs, diagrams) for robotics, simulation, and AI workflows to help developers build AI systems that interact with the physical world.
Role type
Technical Learning Content Development Intern
Builds
Tested labs, tutorials, and learning experiences for NVIDIA Physical AI workflows
Domain
Robotics, Simulation, Physical AI
Required skills
Python programming, Git, Linux development environment, technical writing, creating diagrams and demonstrations, testing lab environments, leveraging open models and agentic tools
Preferred skills
Experience with NVIDIA Isaac Sim, Isaac Lab, Cosmos, Jetson, Omniverse, OpenUSD, ROS, turning projects into reproducible examples, teaching/tutoring experience, using AI tools with output verification
Responsibilities
Collaborate with technical marketing, product, engineering, and training teams to design learning content; Build developer-friendly hands-on learning content with clear prerequisites, exercises, and troubleshooting guidance; Test tutorials and lab environments from a new learner's perspective; Create reusable diagrams, short demonstrations, and knowledge checks; Maintain learning materials in version control and document updates
Seniority
Intern
