{"id":3891048,"url":"https://alion.io/job/nvidia-senior-ai-video-architecture-engineer","title":"Senior AI Video Architecture 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":"B","score":83,"open_postings":806,"ghost_share":0.026,"stale_share":0.587,"repost_share":0.06,"time_to_fill_p50_days":42,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Claude Code","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2026-11-06T21:17:06Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T06:06:12Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"NVIDIA video team is located in Shanghai, focuses on algorithm, architecture and HW design of video/CV solutions in all NVIDIA products, including datacenter, desktop, automotive, embedded system, etc. More than 80% of global internet traffic is video stream and it’s still growing, there’s a strong demand for reducing video bandwidth and increasing video quality. We are looking for architecture engineers to address this problem in a DL based approach.\nWhat you’ll be doing:\nDevelop DL based solutions for video pre/post-processing, compression, etc. Including algorithm study, implementation, performance tuning, and productization.\nStudy new video compression/computer vision technology, specifications, papers, etc.\nDefine the chip architecture of NVIDIA's next-generation video/CV solution, collaborate with ASIC team to deliver HW design.\nWhat we need to see:\nMaster Degree or above in Compute Science or Electronic Engineering\nMinimum of 2+ years’ experience in deep learning or video codec projects.\nExperience with deep learning training frameworks such as Tensorflow, Pytorch, Caffe.\nGood programming skill and C/C++ or python coding abilities.\nFluent English and good communication skill.\n\nWays to stand out from the crowd:\nProject experiences on deep learning-based video pre/post processing, compression.\nExperience with video codec such 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