{"id":2791223,"url":"https://alion.io/job/nvidia-ai-research-scientist","title":"AI Research Scientist","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":82,"open_postings":592,"ghost_share":0.019,"stale_share":0.66,"repost_share":0.034,"time_to_fill_p50_days":33,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":169000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true}],"status":"live","first_seen_at":"2026-05-28T00:00:00Z","employer_posted_date":"2026-05-28","last_verified_at":"2026-10-18T01:32:53Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":143},"description":"NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Singapore team. We are dedicated to the development and optimization of GPU-accelerated efficient AI computing, covering language model, visual generation, and robotics. We focuses on pushing the boundaries of generative AI by designing models that are not only powerful but also efficient in terms of computational resources. You will be part of an amazing collaborative research team that consistently publishes at the top venues in machine learning, robotics and computer vision. Your contributions have the chance to create real impact on our products.\nWhat you'll be doing:\nResearch, design and accelerate novel generative AI models on NVIDIA GPUs\n\nPublish original research\n\nCollaborate with other team members and teams\n\nMentor interns\n\nSpeak at conferences and events\n\nTransfer technology to product groups\n\nCollaborate with external researchers outside NVIDIA\n\nWhat we need to see:\nExcellent knowledge of LLM and foundation models\n\nPublication at leading conferences (ie. CVPR, ICML, ICLR, ICCV, NeurIPS, MLSys, etc)\n\n4 years of experience.\n\nPhD degree in computer science or electrical engineering with strong research track records.\n\nExcellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus\n\nKnowledge of common machine learning frameworks, such as PyTorch\n\nExcellent communication skills\n\nNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. 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