Technical Learning Content Development Intern, Physical AI — Summer 2027
Core
Create developer-friendly hands-on learning content, tutorials, and lab environments for robotics, simulation, and AI workflows.
Role type
Technical Learning Content Development Intern
Builds
Tested labs, tutorials, and learning experiences for developers and partners
Domain
Physical AI, Robotics, Simulation
Required skills
Python programming, Git, Linux development environment, technical writing, creating diagrams and demonstrations, 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 or 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, expected results, 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
