Chun Cai
Senior Infrastructure Software Engineer at 英伟达
Shanghai, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolChun Cai is a Senior Infrastructure Software Engineer with five years' experience building high-performance scientific and heterogeneous computing systems. He holds dual bachelor's degrees in Electronic & Information Engineering and Biomedical Engineering from Beihang University and began his career researching AI-for-Science software, contributing to open-source DFT and reacting-flow projects. At DPTechnology he delivered GPU-accelerated molecular docking and cloud-native screening pipelines achieving orders-of-magnitude speedups, and at AI for Science Institute he optimized cross-platform deployments (CUDA/ROCm/ARM), CI/CD pipelines, and interprocess communications to accelerate community software. Now at NVIDIA, he focuses on infrastructure that bridges research-grade scientific computing with production-scale GPU systems. Chun blends hands-on profiler-driven performance tuning with community-focused engineering, and he has a track record of turning complex numerical codes into scalable, maintainable open-source platforms. An unusual strength is his cross-domain background in biomedical engineering, which informs pragmatic priorities when optimizing scientific workloads.
5 years of coding experience
5 years of employment as a software developer
学士学位, 生物医学工程, 学士学位, 生物医学工程 at Beihang UniversityUniversity College London
Github Skills (130)
density-functional-theory10
python10
computational-science10
windows10
wave10
energy10
ase10
computational-chemistry10
forge10
deep-learning10
gpu10
command-line-tool10
cpp10
gpu-acceleration10
scientific-computing10
Programming languages (11)
Github contributions (5)
caic99/abacus-develop
Jul 2021 - Nov 2024
Contributions:11 PRs, 544 pushes, 298 branches in 3 years 4 months
electronic-structureplane-waveorbitalspackage-basedwave
caic99/deepmd-kit
Aug 2021 - Apr 2025
A deep learning package for many-body potential energy representation and molecular dynamics
Contributions:89 pushes, 46 branches in 3 years 7 months
representationmolecular-dynamicsdeep-learningbodymolecular
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