Gregory Kimball
Software Engineering Manager at NVIDIA
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolGregory Kimball is a Software Engineering Manager based in the San Francisco Bay Area with 10 years of experience building high-performance systems spanning CUDA C++, embedded firmware, cloud services, and ML. He currently leads development of RAPIDS libcudf, the open-source CUDA DataFrame core at NVIDIA, contributing to both code refactoring and user-facing documentation that improves performance and usability for GPU-accelerated data pipelines. Previously he led firmware, IoT monitoring, and CI for commercial battery storage at SunPower, and built simulation and valuation platforms for large-scale solar projects—bridging hardware, analytics, and production software. Trained as a physicist with a Ph.D. from Caltech and an undergraduate background in chemistry and economics, he brings a researcher's rigor to production engineering and a track record of turning complex scientific problems into reliable, maintainable systems. An oft-overlooked strength is his focus on documentation and benchmarks in open source, ensuring that high-performance libraries are accessible and verifiable for downstream users.
10 years of coding experience
14 years of employment as a software developer
Chemistry and Economics, Chemistry and Economics at Columbia University in the City of New YorkPh.D, Applied Physics, Ph.D, Applied Physics at California Institute of Technology
Github Skills (10)
dataframes10
cuda10
cudf10
c-language10
cprogramming-language10
python10
documentation10
dataframe10
cpp9
data-analysis8
Programming languages (7)
Github contributions (5)
rapidsai/cudf
Sep 2022 - Jan 2023
cuDF - GPU DataFrame Library
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions:38 reviews, 8 commits, 11 PRs in 3 months
Contributions summary:Gregory primarily contributes to documentation and refactoring of the codebase, enhancing the clarity and usability of the library. They updated docstrings for functions like `read_text` and `read_json`, providing better descriptions and clarifying parameters. Furthermore, they removed unused includes, updated benchmarks, and fixed inconsistencies in existing benchmarks to improve code maintainability and accuracy. Their work directly impacts the ease of use and the correctness of the cuDF library.
cudadataframe-librarydata-analysiscppcudf
GregoryKimball/FarCry2_trainer
Apr 2018 - Nov 2019
Trainer for tweaking Far Cry 2
Contributions:1 release, 2 PRs, 6 pushes in 1 year 7 months
far-cry-2gametlaeagletweaking
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