Jason Wu
Deep Learning ML Compiler Engineer at Apple
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolJason Wu is a Deep Learning and ML Compiler Engineer with 11 years of systems and compiler experience, currently developing the Apple Neural Engine compiler in Sunnyvale. He combines a strong applied-science background (BASc in Nanotechnology and an MS in Materials Science from the University of Waterloo) with deep practical skills in LLVM-based compiler design, GPU drivers, and firmware across roles at Apple, Huawei, and AMD. Jason has led cross-team features—such as migrating proprietary object formats to ELF and implementing OpenCL Generic Address Space—and has a track record of debugging complex hardware-driver-compiler interactions. Equally comfortable in low-level kernel and firmware work as in higher-level ML compiler optimizations, he brings a curiosity for emerging AR/VR and AI tech and a penchant for translating research-grade ideas into production-ready systems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Nanotechnology, Bachelor of Applied Science (B.A.Sc.), Nanotechnology at University of Waterloo
English, Chinese
Github Skills (8)
tcc4
sdk4
nintendo3
development-kit2
homebrew2
discord-js1
discord-bot1
discord1
Programming languages (2)
Github contributions (5)
jaywuuu/procgen
Sep 2021 - Oct 2024
Contributions:3 pushes, 1 branch in 3 years 2 months
jaywuuu/jaywuuu.github.io
Jun 2015 - Aug 2018
Contributions:4 pushes, 1 branch in 3 years 1 month
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