Artificial intelligence
10 NVIDIA research scientists
These ten NVIDIA research scientists, all still at the company, hold research scientist roles there, according to their profiles. A reader can learn what research science work at NVIDIA involves from people who have done it.
Professionals to explore
01—10Jialiang Wang
LinkedInExperience: Principal Research Scientist · NVIDIA
Principal Research Scientist at NVIDIA since December 2025 in Santa Clara; the role listing places the work at the Spatial Intelligence Lab, building world models and generative simulators. Former Staff AI Research Scientist (2024–2025), Senior Research Scientist (2022–2024) and Research Scientist (2021–2022) at Meta.
Ruben Ohana
LinkedInExperience: Senior Research Scientist, Fundamental Generative AI · NVIDIA
Senior Research Scientist, Fundamental Generative AI at NVIDIA since May 2025; the profile describes working on generative models and synthetically generated data. Former Research Fellow, Center for Computational Mathematics, Flatiron Institute at the Simons Foundation (2022–2025) and PhD candidate at Ecole normale supérieure (2019–2022).
Shaona Ghosh
LinkedInExperience: Senior Research Scientist · NVIDIA
Senior Research Scientist at NVIDIA since December 2023 in San Francisco; the role listing names AI safety and deep learning research, and the headline names agentic safety and trustworthy AI. Former Deep Learning Applied Research (SWE org) at Apple (2021–2023) and Research Manager (AIML org) at Apple (2020–2021).
Sifei Liu
LinkedInExperience: Principle Research Scientist · NVIDIA
Principle Research Scientist at NVIDIA since February 2026, former Senior Research Scientist (2019–2026) and Research Scientist (2017–2019) at NVIDIA, in the San Francisco Bay Area. The profile describes a research focus on computer vision, machine learning and image processing.
Soumye Singhal
LinkedInExperience: Senior Research Scientist · NVIDIA
Senior Research Scientist at NVIDIA since February 2022, based in Toronto; the role listing describes LLM post-training and alignment for Nemotron models, in the Research department at senior level. Former Research Assistant at Mila - Quebec Artificial Intelligence Institute (2019–2022).
Wei Ping
LinkedInExperience: Distinguished Research Scientist · NVIDIA
Distinguished Research Scientist at NVIDIA since March 2025 in Santa Clara, with a headline of Distinguished Research Scientist & Director; the role listing says the work is on large language models. Former Principal Research Scientist (2022–2025) and Senior Research Scientist (2020–2022) at NVIDIA, and Team Lead at Baidu USA (2018–2020).
Yonggan Fu
LinkedInExperience: Senior Research Scientist · NVIDIA
Senior Research Scientist at NVIDIA since March 2026 and former Research Scientist at NVIDIA (2025–2026), in Santa Clara; the profile says the research focuses on efficient foundation models at NVIDIA Research and notes a Ph.D. from Georgia Tech (May 2025).
Zachary Susskind
LinkedInExperience: Research Scientist · NVIDIA
Research Scientist at NVIDIA since September 2024, based in Austin; the profile places the role in the Architecture Research Group at NVIDIA and notes a PhD in computer engineering from The University of Texas at Austin (2024). Former Research Scholar in the SRC Research Scholars Program (2021–2024).
Zhiding Yu
LinkedInExperience: Principal Research Scientist & Research Lead · NVIDIA
Principal Research Scientist & Research Lead at NVIDIA since April 2024; the role listing describes building multimodal foundation models, data engines and general intelligence at NVIDIA. Former Staff Research Scientist (2023–2024), Senior Research Scientist (2020–2023) and Research Scientist (2018–2020) at NVIDIA.
Zhifeng Kong
LinkedInExperience: Senior Research Scientist · NVIDIA
Senior Research Scientist at NVIDIA since March 2025 and former Research Scientist at NVIDIA (2023–2025), in Santa Clara; the profile describes work on audio understanding across language, audio and vision, and on deep generative models for audio including audio diffusion models.
Choose the right perspective
Match the person's research area, such as LLM post-training, multimodal foundation models, world models, audio, AI safety or computer architecture, to your question, and check their seniority. Their earlier employers and labs can also help you find someone who has worked on problems like yours.
Questions to take into the conversation
- 01How does NVIDIA Research choose which AI research directions to pursue alongside its hardware roadmap?
- 02What goes into post-training and aligning an open model family like Nemotron?
- 03How do researchers make foundation models more efficient to train and run on GPUs?
Reaching NVIDIA research scientists
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About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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