{"id":3010818,"url":"https://alion.io/job/nvidia-gpu-computing-software-engineering-intern-autonomous-driving-2027","title":"GPU Computing Software Engineering Intern, Autonomous Driving - 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":814,"ghost_share":0.023,"stale_share":0.732,"repost_share":0.044,"time_to_fill_p50_days":35,"computed_at":"2026-10-23T05:54:15Z"}},"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","Beijing, 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":"CUDA","optional":false},{"name":"cuDNN","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"TensorRT","optional":false},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-10-21T15:20:34Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-23T23:16:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.This is our life’s work - to amplify human imagination and intelligence. AI becomes more and more important in self-driving car. NVIDIA is at the forefront of the AI-City and self-driving revolution and providing powerful solutions for them. All these solutions are based on GPU-accelerated libraries, such as CUDA, cuDNN and TensorRT, etc.\nNow, we are now looking for CPU computing interns based in Shanghai. Join the team to provide the powerful AI solution to the entire world!\nWhat you’ll be doing:\nAnalyze the GPU computing issues and write some test code for them.\n\nWrite some documentation about the analysis of the issue.\n\nWhat we need to see:\nPursuing BS or higher degree in CS/EE/CE or equivalent.\n\nGood programming experience on Linux OS.\n\nGood programming skills in C and C++, python is a plus.\n\nStrong knowledge about Linux Shell and Makefile.\n\nHave knowledge about the popular inference network and Deep Learning layers.\n\nExperience with deep learning Pytorch framework.\n\nGood at read and written in English.\n\nWays to stand out from the crowd:\nFamiliarity with NVIDIA GPU hardware products (Tesla, Jetson, DGX, etc).\n\nWorking knowledge of NVIDIA GPU Computing (CUDA) and CUDA-X libraries for Deep Learning, especially CUDA.\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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