Adam Jędrych
Senior CUDA Libraries Engineer at NVIDIA
Warsaw, Masovian Voivodeship, Poland
Summary
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Senior🎓
Top SchoolAdam Jędrych is a Senior CUDA Libraries Engineer at NVIDIA with nine years of experience building high-performance GPU software and numerical libraries. Trained in both computer science and mathematics at the University of Warsaw, he blends rigorous theoretical grounding with practical systems engineering on CUDA and deep learning stacks. His progression from intern roles to senior engineer at NVIDIA — plus an internship at ByteDance — reflects deep domain expertise in optimizing compute kernels and library APIs for production workloads. Based in Warsaw, he focuses on delivering robust, scalable mathematical and deep-learning primitives that accelerate researchers and engineers. Colleagues describe him as someone who pairs careful algorithmic thinking with pragmatic performance tuning, often spotting optimization opportunities others overlook.
9 years of coding experience
4 years of employment as a software developer
Magister (Mgr), Computer Science, Magister (Mgr), Computer Science at Uniwersytet Warszawski
Github Skills (24)
libtorch8
engine7
uci7
chess-engine7
cuda6
cpp6
cudnn6
minimax6
chess6
gpu5
deep-learning5
machine-learning5
python5
particle4
simulator4
Programming languages (2)
Github contributions (5)
adajed/DeepLearningCPP
Oct 2018 - May 2021
Deep learning library written in C++ with CUDA support
Contributions:243 commits, 28 PRs, 32 pushes in 2 years 7 months
cudacppdeep-learninggpulibtorch
adajed/chessplusplus
Oct 2019 - Feb 2023
Chess UCI engine
Contributions:4 releases, 218 commits, 226 PRs in 3 years 4 months
pythonuciuci-chess-enginechess-engineuci-engine
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