{"id":3828090,"url":"https://alion.io/job/nvidia-technical-learning-content-development-intern-physical-ai-summer-2027","title":"Technical Learning Content Development Intern, Physical AI — Summer 2027","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":794,"ghost_share":0.025,"stale_share":0.594,"repost_share":0.055,"time_to_fill_p50_days":41,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Git","optional":false},{"name":"Isaac Lab","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-11-05T18:56:18Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T20:35:34Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nJoin 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.\nWhat you’ll be doing:\nCollaborate with technical marketing, product, engineering, and training teams to design learning content for a selected robotics, simulation, or AI workflow accurately\nBuild developer-friendly hands-on learning content with clear prerequisites, exercises, expected results, and troubleshooting guidance.\nTest tutorials and lab environments from a new learner’s perspective; reproduce failures and work with engineers to resolve them.\nCreate reusable diagrams, short demonstrations, and knowledge checks that connect technical concepts to practical tasks.\nMaintain learning materials in version control, incorporate learner feedback, and document updates so the content stays usable as software changes.\nWhat we need to see:\nPursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent program area.\nPython programming demonstrated through coursework, a research project, or a software project.\nCoursework or project experience in at least one of robotics, machine learning, computer graphics, or simulation.\nExperience using Git and a Linux development environment to run, debug, and document software.\nA technical writing or teaching sample, such as a tutorial, project README, lab guide, or recorded demonstration that explains a working project.\nDemonstrated experience leveraging open models and agentic tools to produce production-ready content and materials.\nWays to stand out from the crowd:\nA project using one or more of NVIDIA Isaac Sim, Isaac Lab, Cosmos, Jetson, Omniverse libraries, OpenUSD, or ROS (Robot Operating System).\nExperience turning a robotics, synthetic-data, or simulation project into a reproducible example others can run.\nTeaching, tutoring, workshop, or open-source contribution experience, with examples of improvements made from user feedback.\nPassion for creating technical diagrams, videos, or accessible learning materials.\nUsing AI tools with a documented process for checking their output.\nNVIDIA 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. If you're creative and autonomous, we want to hear from you!\nOur 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.\nApplications for this job will be accepted at least until November 9, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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