Description
Join NVIDIA's Physical AI Technical Marketing team as an intern to help developers learn how to build AI systems that perceive and interact with the physical world. You will work with engineers and educators to create tested labs, tutorials, and learning experiences for robotics and simulation workflows.
Responsibilities:
- Collaborate with technical marketing, product, engineering, and training teams to design learning content for robotics, simulation, or AI workflows
- 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 and work with engineers to resolve issues
- Create reusable diagrams, short demonstrations, and knowledge checks that connect technical concepts to practical tasks
- Maintain learning materials in version control and incorporate learner feedback
Requirements:
- Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent program area
- Python programming experience demonstrated through coursework, a research project, or a software project
- Coursework or project experience in at least one of robotics, machine learning, computer graphics, or simulation
- Experience using Git and a Linux development environment
- A technical writing or teaching sample
- Demonstrated experience leveraging open models and agentic tools
Nice to Have:
- A project using NVIDIA Isaac Sim, Isaac Lab, Cosmos, Jetson, Omniverse libraries, OpenUSD, or ROS
- Experience turning a robotics, synthetic-data, or simulation project into a reproducible example
- Teaching, tutoring, workshop, or open-source contribution experience
- Passion for creating technical diagrams, videos, or accessible learning materials
- Using AI tools with a documented process for checking their output
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