{"id":2411534,"url":"https://alion.io/job/nvidia-applied-deep-learning-algorithm-intern-autonomous-driving-2027","title":"Applied Deep Learning Algorithm 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":"A","score":86,"open_postings":434,"ghost_share":0.014,"stale_share":0.493,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Shanghai, China","Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":621},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Imitation Learning","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"SFT","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-13T02:18:33Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T00:42:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Are you looking to be part of a fun, creative company at the forefront of groundbreaking technologies? NVIDIA is leading the way in some of the world's most exciting tech areas, including Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. We are widely recognized as one of the most desirable employers, with some of the most forward-thinking individuals in the industry working with us. There has never been a more exciting time to join our team!\nWe are looking for a highly motivated Applied Deep Learning Algorithm Intern to join our autonomous driving team. You will work with experienced engineers on learning-based driving algorithms, supervised fine-tuning, reinforcement learning, data optimization, model evaluation, and multi-carline adaptation.\nWhat You Will Be Doing:\nDevelop, train, fine-tune, and evaluate learning-based algorithms for autonomous driving decision-making, planning, and driving behavior.\nExplore Transformer-based approaches, including VLMs and VLAs, for driving-scene understanding, decision-making, and trajectory generation.\nBuild supervised fine-tuning data workflows and Python tools for scenario mining, data cleaning, filtering, labeling, experiment management, visualization, and model evaluation.\nAnalyze model failures and vehicle logs, mine hard cases, and improve dataset balance, long-tail coverage, and noise quality.\nConduct supervised fine-tuning, reinforcement learning, ablation, and evaluation experiments using offline metrics, open-loop replay, simulation, and vehicle-test results.\nSupport model and carline adaptation across multiple autonomous driving programs, including issue analysis, validation, and scaling.\nWhat We Need to See:\nCurrently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Robotics, Mathematics, or a related field.\nGood Python programming skills and hands-on experience with PyTorch or another deep learning framework.\nGood understanding of machine learning, deep learning, Transformer architectures, model training, optimization, and dataset analysis.\nProficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams.\nAble to work at least three days per week throughout the internship.\nWays to Stand Out from the Crowd:\nExperience with supervised fine-tuning, imitation learning, reinforcement learning, behavior cloning, or learning-based planning.\nExperience using or fine-tuning VLMs, VLAs, or other multimodal foundation models.\nFamiliarity with autonomous driving datasets, 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