Scott Ricketts
Manager, CuDNN Software at NVIDIA
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolScott Ricketts is a software engineering leader with nine years at NVIDIA driving deep learning software, currently managing the cuDNN engineering team from Boulder, Colorado. He previously led parts of the TensorRT inference stack and began his NVIDIA tenure on GPU architecture, where he designed HW/SW features to speed kernel launch and optimize the compute launch path. Scott blends low-level hardware insight with production-grade software delivery, regularly shipping performance-critical libraries used across the AI stack. He enjoys building and coaching teams as much as coding, and prefers roles that let him bridge architecture, tooling, and product needs. His background includes an M.S. in Computer Science from UC San Diego and early industry experience at MaXentric Technologies, giving him a practical foundation across systems software and applied research. An approachable manager who still codes, he writes about his experiences and the tradeoffs of shipping production ML software.
9 years of coding experience
13 years of employment as a software developer
University of California, San DiegoB.S.E., Computer Science and Engineering, B.S.E., Computer Science and Engineering at University of Pennsylvania
Github Skills (4)
lstm3
machine-learning2
nlp2
deep-learning2
Programming languages (1)
Github contributions (5)
livepeer/go-PPSPP
Jun 2017 - Sep 2017
Contributions:82 commits in 3 months
sricketts/nets
Jul 2018 - Aug 2018
Contributions:11 pushes, 1 branch in 18 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.