Haojie Ye
Deep Learning Performance Architect at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolHaojie Ye is a Deep Learning Performance Architect at NVIDIA with eight years of experience bridging academic research and production-grade ML systems. He completed a PhD in Computer Engineering at the University of Michigan after internships at NVIDIA and Micron, and his work spans hardware-aware model optimization, high-performance inference, and neural interface hardware from his earlier lab projects. Haojie has a track record of turning research prototypes into competitive products—his graduate research contributed to commercially viable optoelectrodes for neuroscience. Based in California, he combines low-level hardware insight with deep learning performance engineering to accelerate real-world workloads. Colleagues would describe him as intellectually rigorous with a dry, wry sense of humor that surfaces in his GitHub persona as “a pure pessimist.”
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at University of MichiganBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at 上海交通大学
Chinese, Japanese, English
Github Skills (3)
gem52
matlab2
matlab-gui2
Programming languages (1)
Github contributions (5)
YoonGroupUmich/OSC136H
May 2018 - Apr 2019
Contributions:10 releases, 24 commits, 19 pushes in 10 months
Linestro/GRACE
Jan 2023 - Mar 2023
Contributions:25 commits, 23 pushes, 1 branch in 1 month
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