Technical Learning Content Development Intern, Physical AI — Summer 2027

Details

NVIDIA's Physical AI Technical Marketing team helps developers learn how to build AI systems that perceive and interact with the physical world. This internship involves working with engineers and educators to turn robotics and simulation workflows into tested labs, tutorials, and learning experiences. The intern will own a scoped project from a working example through learner testing and publication, helping developers and partners put NVIDIA technology into practice.

Responsibilities

• Collaborate with technical marketing, product, engineering, and training teams to design accurate learning content for a selected robotics, simulation, or AI workflow.
• 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, reproduce failures, and work with engineers to resolve them.
• Create reusable diagrams, short demonstrations, and knowledge checks that connect technical concepts to practical tasks.
• Maintain learning materials in version control, incorporate learner feedback, and document updates so the content remains usable as software changes.

Requirements

• Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or an equivalent program area.
• Python programming 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 to run, debug, and document software.
• A technical writing or teaching sample, such as a tutorial, project README, lab guide, or recorded demonstration explaining a working project.
• Demonstrated experience leveraging open models and agentic tools to produce production-ready content and materials.

Preferred Qualifications

• A project using one or more of NVIDIA Isaac Sim, Isaac Lab, Cosmos, Jetson, Omniverse libraries, OpenUSD, or ROS (Robot Operating System).
• Experience turning a robotics, synthetic-data, or simulation project into a reproducible example others can run.
• Teaching, tutoring, workshop, or open-source contribution experience, with examples of improvements made from user feedback.
• Passion for creating technical diagrams, videos, or accessible learning materials.
• Experience using AI tools with a documented process for checking their output.

Benefits

Interns are eligible for NVIDIA intern benefits. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until November 9, 2026.