Adam Jędrych is a Senior CUDA Libraries Engineer at NVIDIA, where he leads the development of high-performance CUDA libraries and accelerates machine learning and scientific computing workloads. Based in Warsaw, Poland, he brings nearly a decade of experience across internships and roles in industry, with a focus on GPU-accelerated computing and mathematical libraries. He holds a Magister in Computer Science and Licencjats in Mathematics and Computer Science from the University of Warsaw, grounding him in algorithms, systems, and rigorous math. His NVIDIA career progressed from Deep Learning Software Intern in 2018 to CUDA Mathematics Libraries Engineer Intern, CUDA Libraries Engineer, and finally Senior CUDA Libraries Engineer by 2023, reflecting steady growth and impact on the CUDA software stack. With academic depth and hands-on engineering, he translates complex mathematical problems into efficient, scalable library implementations for GPU architectures.
9 years of coding experience
4 years of employment as a software developer
Magister (Mgr), Computer Science, Magister (Mgr), Computer Science at Uniwersytet Warszawski
Contributions:4 releases, 218 commits, 226 PRs in 3 years 4 months
pythonuciuci-chess-enginechess-engineuci-engine
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