{"id":2338034,"url":"https://alion.io/job/nvidia-ai-developer-technology-engineer-5","title":"AI Developer Technology Engineer","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":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","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":"CUDA Toolkit","optional":false},{"name":"Drake","optional":false},{"name":"Embodied AI","optional":false},{"name":"Gazebo","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Lab","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Megatron-LM","optional":false},{"name":"MuJoCo","optional":false},{"name":"Physical AI","optional":false},{"name":"PyBullet","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"VLM","optional":false}],"status":"live","first_seen_at":"2026-10-12T10:37:36Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T10:37:20Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"NVIDIA is the engine of modern AI. For over 25 years our work in accelerated computing has redefined computer graphics, autonomous machines, and now physical AI. We are looking for an AI Developer Technology Engineer to join our DevTech team in China. this role you will work directly with the developers and researchers building the next generation of robots, helping them get the most out of NVIDIA GPUs across simulation, training, and deployment. You will be part of an exceptionally experienced, globally distributed team dedicated to pushing the boundaries of embodied AI.\nWhat you’ll be doing\nPartner with leading robotics developers and research teams in China to design, optimize, and scale embodied AI workloads on NVIDIA platforms\nDevelop on and extend frameworks such as Isaac Lab, Megatron Core and VLM/VLA/WA inference framework, ensuring flawless performance at scale\nProfile and optimize GPU-based physics simulation, robot foundation model training and inference pipelines; drive the findings back into our products\nBuild reference workflows and samples for imitation learning, reinforcement learning, and VLA/WA/VLM model training/inference\nDiscuss your approach and results with NVIDIA engineers and external developers to continuously improve processes\nCollaborate closely with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models\nRepresent NVIDIA technically at developer events, workshops, and customer engagements in the region\nWhat we need to see:\nBachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.\n3+ working year experience.\nExperience with C++, CUDA, Python, and Linux.\nProven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.\nStrong communication skills and the ambition to grow and learn about building machine learning applications, optimization, and software engineering.\nPrior involvement with embodied AI or a history at humanoid robotics firms with a focus on physics simulation.\nWidely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.Are you a creative and autonomous computer scientist with a real passion for parallel computing? 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