Technical Learning Content Development Intern, Physical AI - Summer 2027

Nvidia Corporation in; Santa Clara (CA); Presencial; USD 28.000 - 98.000; Tempo parcial

Benefícios oferecidos por esta vaga

Intern benefits

Resumo da vaga

NVIDIA Corporation in Santa Clara, CA offers a part-time internship in the Physical AI Technical Marketing team to help developers learn to design AI-enabled workflows that perceive the physical world.

You will create hands-on tutorials, test labs, and publish learning content in collaboration with engineers and educators. Applicants should be pursuing a BS or MS in CS/Robotics/EE/CE, demonstrate Python, and have Git/Linux experience.

Qualificações

• Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent program area.
• Python programming demonstrated through coursework, a research project, or a software project.
• Coursework or project experience in robotics, ML, graphics, or simulation.
• Experience using Git and a Linux development environment to run, debug, and document software.
• Technical writing or teaching sample (tutorial, README, lab guide).
• Experience leveraging open models and agentic tools to produce production-ready content.

Responsabilidades

• 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 prerequisites, exercises, results, and troubleshooting guidance.
• Test tutorials and labs from a learner perspective and work with engineers to resolve failures.
• Create reusable diagrams, demonstrations, and knowledge checks that connect technical concepts to practical tasks.
• Maintain learning materials in version control and document updates as software changes.

Conhecimentos

Python programming

Git usage

Linux development

Formação

BS or MS in Computer Science, Robotics, Electrical Engineering, or Computer Engineering

Ferramentas

Git

Linux

Descrição da vaga

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. Join NVIDIA’s Physical AI Technical Marketing team to help developers learn how to build AI systems that perceive and interact with the physical world. Work with engineers and educators to turn robotics and simulation workflows into tested labs, tutorials, and learning experiences. You’ll own a scoped project from a working example through learner testing and publication, helping developers and partners put NVIDIA technology into practice. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us.

What you’ll be doing:

• Collaborate with technical marketing, product, engineering, and training teams to design learning content for a selected robotics, simulation, or AI workflow accurately
• 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 stays usable as software changes.

What we need to see:

• Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or 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 that explains a working project.
• Demonstrated experience leveraging open models and agentic tools to produce production‑ready content and materials.

Ways to stand out from the crowd:

• 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.
• Using AI tools with a documented process for checking their output.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 71 USD.

You will also be eligible for Intern benefits.

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

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA.