Jonathan Cohen
VP Of Applied Research at NVIDIA
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJonathan Cohen is a veteran AI and applied research leader with over 16 years of industry experience and a three-decade-spanning career arc that blends deep technical work with executive strategy. Currently VP of Applied Research at NVIDIA in Portland, he previously led AI software and deep learning efforts at NVIDIA and directed AI/autonomous engineering at Apple, demonstrating consistent impact at the intersection of research, product, and production-scale systems. He chaired the MLPerf working group, helping shape industry benchmarking for ML performance, and has roots in graphics and visual effects from roles at Sony Pictures Imageworks and Rhythm & Hues. Known for translating cutting-edge research into deployable software, he brings a pragmatic focus on performance, tooling, and developer ecosystems. His background combines academic rigor from Brown University with hands-on experience across startups and global tech leaders, making him a bridge between experimentation and large-scale engineering delivery.
16 years of coding experience
23 years of employment as a software developer
Sc. B, Sc. B at Brown University
Github Skills (5)
machine-learning4
deep-learning4
caffe4
gpu3
deep-neural-networks1
Programming languages (1)
Github contributions (3)
jcohenpersonal/opencurrent
Sep 2009 - Oct 2010
Contributions:9 commits in 1 year 1 month
jcohenpersonal/cuda-metaprog
Sep 2010 - Sep 2010
Contributions:1 commit in 1 day
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