10 Nvidia engineering leaders
From VLSI circuits and datacenter engineering to PyTorch and JAX, RAPIDS, Omniverse simulation and autonomous vehicle software, the work of these Nvidia engineering leaders covers both sides of the stack, with two vice presidents, three senior directors and five directors at NVIDIA. Companies organizing GPU software teams, AI model groups or chip platform work can match their question to the leader on that layer.
Professionals to explore
Christian Sarofeen
LinkedInExperience: Director of Engineering for Deep Learning Frameworks · NVIDIA
Christian Sarofeen leads development of PyTorch and JAX on NVIDIA GPUs as Director of Engineering for Deep Learning Frameworks since July 2022, including nvFuser for automatic code generation of operators. NVIDIA titles also include Senior Engineering Manager of the PyTorch Frameworks Team (2019–2022), PyTorch Engineering Manager (2019), PyTorch Engineering Technical Lead (2017–2019) and Senior Software Engineer (Compute DevTech) (2016–2017).
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Kabriel Robichaux
LinkedInExperience: Director of Engineering, AI Infrastructure · NVIDIA
Kabriel Robichaux has been Director of Engineering, AI Infrastructure at NVIDIA since September 2019. Other titles include Engineering Director at Level (2018–2019), Architect at 8 Circuit Studios (2017–2018), Engineering Director at TapInfluence (2016–2017) and Co-Founder & Architect at StageHound (2013–2016), making Kabriel Robichaux a fit for questions on AI infrastructure engineering.
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Karthick Iyer
LinkedInExperience: Vice President, Software Engineering · NVIDIA
Karthick Iyer has been Vice President, Software Engineering at NVIDIA since September 2018, leading large global teams that deliver software across generative and physical AI. Other titles include Head of OS and Technologies, FireOS at Amazon Lab126 (2016–2018), Vice President - Global Systems at Cyngn (2015–2016) and Vice President, Engineering (Global Android Engineering Lead) at Qualcomm (2015), plus a Clemson University industry advisory board seat.
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Kutty Banerjee
LinkedInExperience: Senior Director of Engineering · NVIDIA
GeForce NOW platform architecture is Kutty Banerjee's area as Senior Director of Engineering at NVIDIA since November 2020, designing, maintaining and optimizing the hardware platform behind NVIDIA's cloud graphics and inference. Other roles include Software Architect at NVIDIA (2005–2013), Principal Engineer Engineering Manager at Apple (2013–2019) and Engineering Manager at Google (2019–2020).
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Oluwatobi Olabiyi
LinkedInExperience: Director of Engineering · NVIDIA
Language, speech, vision and multimodal model development is the stated focus of Oluwatobi Olabiyi, Director of Engineering at NVIDIA since March 2025 and also Senior Engineering Manager at NVIDIA since 2021. Research titles include Senior Manager, AI Research at Capital One (2017–2021), Senior Research Scientist at Toyota Research Institute (2017) and Senior Researcher at Toyota InfoTechnology Center, U.S.A., INC. (2015–2017).
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Qi Luo
LinkedInExperience: Distinguished Engineer and Director of Engineering · NVIDIA
Qi Luo has been Distinguished Engineer and Director of Engineering at NVIDIA since February 2024, a role their LinkedIn profile ties to autonomous vehicles. Baidu USA titles were Senior Principal Software Architect (2022–2024), Principal Software Architect, Sr Engineering Manager (2020–2022), Staff Software Architect, Tech Lead Manager (2019–2020) and Senior Software Architect, Tech Lead (2017–2019).
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Rajesh Patil
LinkedInExperience: Director, Datacenter Engineering · NVIDIA
Rajesh Patil, Director, Datacenter Engineering at NVIDIA since March 2021, was Vice President at Ascava Inc (2014–2020) and Director of Engineering at Cisco (2005–2013). Co-Founder & Vice-President of Hardware Design at Vihana Inc (2001–2005) and MTS at Motorola Mobility (a Lenovo Company) (1989–1996) are also listed, which suits datacenter engineering and hardware design questions.
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Tae Kim
LinkedInExperience: Vice President of Engineering, Simulation Technology and Omniverse · NVIDIA
Tae Kim leads engineering for simulation as Vice President of Engineering, Simulation Technology and Omniverse at NVIDIA since June 2022, and describes more than two decades of physical simulation in film, games and environments that train Physical AI. Other titles include Senior Director, Omniverse and Graphic AI (2018–2022) and Senior R&D engineer Gameworks and PhysX (2010–2015) at NVIDIA, Vice President, Graphics R&D at Samsung Electronics (2015–2018) and Principal Graphics Scientist at Rhythm & Hues (2003–2010).
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Tezaswi Raja
LinkedInExperience: Senior Director of Engineering · NVIDIA
Tezaswi Raja manages the VLSI Circuit Solutions Group as Senior Director of Engineering at NVIDIA since May 2024, with teams architecting circuits for security, clocking and power. All five of Tezaswi's titles are at NVIDIA: Director Of Engineering (2020–2024), Sr. Design Engineering Manager (2016–2020), Design Engineering Manager (2012–2016) and Sr. Design Engineer (2009–2012), a fit for circuit design team questions.
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Todd Mostak
LinkedInExperience: Senior Director of Engineering, RAPIDS · NVIDIA
Todd Mostak has been Senior Director of Engineering, RAPIDS at NVIDIA since July 2025, building out SQL-on-GPU with NVIDIA RAPIDS. At HEAVY.AI the titles were CEO Co-founder (2014–2021 and 2025) and CTO Co-founder (2021–2025), plus Researcher at Massachusetts Institute of Technology (2013), so Todd Mostak can speak to GPU-accelerated analytics from HEAVY.AI and NVIDIA.
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Choose the right perspective
Hardware-side questions split between Tezaswi Raja (VLSI circuits), Kutty Banerjee (GeForce NOW hardware platform) and Rajesh Patil (datacenter engineering). On software, Christian Sarofeen covers PyTorch and JAX, Todd Mostak GPU data processing with RAPIDS, Tae Kim simulation and Omniverse, Oluwatobi Olabiyi language, speech and vision models and Qi Luo autonomous vehicles; Karthick Iyer suits questions on large AI software teams and Kabriel Robichaux on AI infrastructure engineering.
Questions to take into the conversation
- 01How do you organize framework engineers so that PyTorch and JAX performance work keeps pace with new GPU generations?
- 02What should a team weigh before moving SQL analytics or data processing onto GPUs?
- 03How do circuit design and system software teams agree on power, clocking and performance targets for a new chip?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.