James Clark
Senior Software Engineer at Andretti Global
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolJames Clark is a Senior Software Engineer based in London with 10 years of experience building full-stack and high-performance systems across startups, research labs, and motorsport. He has deep HPC and GPU experience from contributions to CuPy—adding CUDA device and PCI bus ID functionality—and a MSc in High Performance Computing from Edinburgh. At Zapata he spanned backend streaming, realtime motorsport strategy dashboards, and local-first data replication tools, showing a rare blend of low-latency systems and user-facing dashboards. He founded and engineered platform solutions at Formeric and brought scientific rigor from the Hartree Centre into production software. James excels at translating stakeholder needs into robust, cross-stack solutions and often surfaces hardware-level details to improve software reliability. Colleagues rely on him for pragmatic engineering across cloud, on-prem, and edge environments.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc), High Performance Computing, Merit, Master of Science (MSc), High Performance Computing, Merit at The University of EdinburghBachelor of Science with Honours (BSc Hons), Physics, First Class, Bachelor of Science with Honours (BSc Hons), Physics, First Class at University of Aberdeen
English
Github Skills (9)
cuda10
c-language10
cprogramming-language10
gpu10
python10
cython10
numpy9
testing9
cublas7
Programming languages (16)
Github contributions (5)
cupy/cupy
Oct 2019 - Oct 2019
NumPy & SciPy for GPU
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 commits, 1 PR, 10 comments in 4 days
Contributions summary:James contributed to adding and improving CUDA device functionality within the CuPy library. They implemented features to retrieve device information using the PCI bus ID, including creating new functions and class methods. Their work included adding tests to validate the PCI bus ID functionality and refactoring existing code to streamline the device selection process. They also updated the code to use ascii encoding.
cudapythoncusolvergpunumpy
jameshclrk/dotfiles
Apr 2016 - Mar 2025
Contributions:53 pushes, 1 branch in 9 years
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