{"id":3078170,"url":"https://alion.io/job/nvidia-software-engineer-intern-robotics-2027","title":"Software Engineer Intern, Robotics - 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":80,"open_postings":817,"ghost_share":0.023,"stale_share":0.736,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Robotics","role_family":"Robotics","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":["Shanghai, China"],"countries":["CN"],"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":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Teleoperation","optional":false},{"name":"Vision-Language-Action","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-24T08:48:21Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"As a Software Engineer intern on the NVIDIA Isaac projects, you will help build the platform for Physical AI robots - enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong software engineering skills for real-time robotics applications and real-world experience with multi-body robots, such as humanoids and surgical robots.\nWhat You Will Be Doing:\nBring the latest advancements in Physical AI to simulated and real robots by building the runtime framework and healthcare industrial workflows, showcasing the power of NVIDIA's technology.\nCollaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, Holoscan, and Isaac Sim/Lab into the solution for robots.\nTake on a variety of challenges, bridging between research and commercial environments.\nDeploy and test the developed software on real robots.\nWhat we need to see:\nMaster's degree or above in Robotics, Computer Science, Engineering, or a related field, or equivalent experience.\nSkilled at robotic policy development workflow, from lab to launch: teleoperation, synthetic data generation, domain randomization, VLA and RL post-training, sim2real transfer, deployment with edge AI platforms.\nFamiliar with popular VLA and RL algorithms, co-working with robotics researchers to design robotic policy for specific tasks, especially healthcare scenes.\nProven experience in designing and building robotics software stacks.\nProficiency in Python, C++, PyTorch. Willingness to learn new languages and tools as needed.\nAbility to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.\nStrong problem-solving skills and the ability to determine the best approach to complex challenges.\nExcellent communication skills and a collaborative approach to working effectively with diverse teams.\nWays to Stand out from The Crowd:\nFamiliarity with NVIDIA robotics products such as Jetson, Isaac GR00T, Cosmos, Isaac for healthcare, and Isaac Sim/Lab.\nExperience with VLA / Reinforcement Learning.\nExperience with healthcare robots, humanoid robots, and surgery robots.\nWith highly competitive salaries and a comprehensive benefits package, 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 and, due to outstanding growth, our special engineering teams are growing fast. 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