Cade Brown
CUDA Math Library Engineer
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolCade Brown is a CUDA Math Library Engineer at NVIDIA with 11 years of software and research experience focused on AI, high-performance computing, and numerical algorithms. He built and optimized GPU-accelerated math libraries (MAGMA, SLATE) for supercomputers, contributed to xSDK standards, and co-authored published performance studies on AMD GPUs with leaders like Jack Dongarra. Cade's background spans ML compiler work (MLIR, JAX, PyTorch), polyhedral code generation, and reproducible scientific ML platforms, reflecting a rare blend of low-level kernel optimization and higher-level ML systems. He began in academic HPC research at ORNL and UTK, where he also prototyped tools for automated debugging and large-scale code analysis. Outside of engineering he’s an avid musician and philosophy reader, interests that inform his creative approach to problem solving.
11 years of coding experience
4 years of employment as a software developer
L&N STEM AcademyBachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Tennessee, Knoxville
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (78)
hip10
pokemongo10
heterogeneous10
baking10
script10
cli9
shell9
telegram9
discord9
docker9
discord-bot9
portability9
cuda9
python8
gpu8
Programming languages (10)
Github contributions (5)
cadebrown/kscript
Dec 2020 - Dec 2024
Contributions:101 pushes, 5 branches, 3 comments in 4 years
ChemicalDevelopment/PGS
Apr 2016 - Jul 2018
Contributions:12 releases, 291 pushes, 4 branches in 2 years 3 months
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