PaulĀ Springer
Senior Developer Technology Engineer at NVIDIA
San Francisco Bay Area United States
Summary
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Top SchoolPaul Springer is a Senior Developer Technology Engineer at NVIDIA with 11 years of experience blending high-performance computing, machine learning, and computational chemistry expertise. He holds a Ph.D. in Computer Science from RWTH Aachen and has focused on tensor contractions, small/odd-sized linear algebra routines, and CUDA math and deep learning libraries across multiple roles at NVIDIA. Based in the San Francisco Bay Area, he translates deep academic research into production-grade GPU software, contributing to libraries like cuBLAS, cuSPARSE, and cuDNN during internships and full-time work. Paul's background bridges rigorous algorithmic thinking with practical performance engineering, and he brings a rare combination of low-level numerical optimization skills and applied ML systems experience.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, A+, Bachelor of Science (B.Sc.), Computer Science, A+ at RWTH Aachen University
English, German
Github Skills (52)
cusparse10
python10
multidimensional-arrays10
machine-learning10
cusolver10
gpu10
curand10
cuda10
transpose10
linear-algebra10
cufft10
graph-algorithms9
numpy9
neural-network9
deep-learning9
Programming languages (8)
Github contributions (5)
HPAC/tccg
Jul 2016 - Aug 2017
Tensor Contraction Code Generator
Contributions:37 commits, 26 pushes, 1 branch in 1 year
code-generationcode-generatortensor
HPAC/TTC
Mar 2016 - May 2017
TTC: A high-performance Compiler for Tensor Transpositions
Contributions:18 commits, 60 pushes, 1 branch in 1 year 2 months
compilertensor
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