Chris Vanderknyff
Principal Software Engineer at NVIDIA
Raleigh, North Carolina, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Vanderknyff is a Principal Software Engineer with 7+ years of focused experience building developer tooling and performance systems for GPUs and deep learning at NVIDIA, backed by earlier kernel and streaming work at Amazon. He leads the Nsight Deep Learning Designer effort—designing component-based inference frameworks, model exporters, and out-of-process validation architectures—while shipping profiling and cross-platform support including macOS and DriveOS Linux. His deep systems expertise spans C++, CUDA, Python, GPU assembly, and kernel-mode development, and he has a history of defining performance metrics and low-level counter collection for Pascal, Volta and Turing architectures. An engineer who moves fluidly between tooling, profiling, and platform integration, he also brings a strong academic foundation (MSc, UNC Chapel Hill) and a track record of mentoring and shipping production features across desktop, cloud, and embedded environments.
7 years of coding experience
22 years of employment as a software developer
M.Sc., Computer Science, M.Sc., Computer Science at The University of North Carolina at Chapel HillB.S., Computer Science, Mathematics, B.S., Computer Science, Mathematics at Lander University
Github Skills (36)
pytorch10
drug-discovery10
benchmark10
artificial-intelligence10
translation10
mxnet10
machine-learning10
benchmarking10
speech-synthesis10
large-language-models10
reinforcement-learning10
forecasting10
nvidia10
infrastructure10
deep-learning10
Programming languages (2)
Github contributions (5)
nvcforster/training
Jan 2021 - Sep 2021
Reference implementations of training benchmarks
Contributions:1 push, 1 branch in 7 months
implementationsbenchmarkingcaffe2deep-learningmachine-learning
nvcforster/DeepLearningExamples
Aug 2019 - Aug 2019
Deep Learning Examples
Contributions:1 PR, 10 pushes, 1 branch in 15 days
deep-learningpythonmachine-learningtensorflow
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