Jia-chi Wu
Software Engineer at Stealth Mode Startup
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJia-chi Wu is a software engineer with 11 years of deep experience translating computer vision and ML research into production-grade systems, contributing to high-impact products like Apple’s Face ID and Tesla Autopilot. He excels at bridging research and engineering—building heterogeneous CPU/GPU/Bionic inference libraries, stabilizing multi-SoC distributed replay systems, and automating calibration and data pipelines to accelerate ML training. At NVIDIA he advanced targetless camera calibration for vehicle interiors; at Tesla he led efforts to eliminate nondeterminism in replay, turning it into a core debugging and data-generation tool. Comfortable across low-level C++ and system software up through cloud automation, he has a track record of squeezing performance from concurrent, parallel, and heterogeneous stacks while improving developer productivity. Based in San Jose, he combines PhD-level rigor with product-focused delivery and a knack for turning research prototypes into reliable, service-ready features.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of WashingtonBachelor's degree Computer Science, Bachelor's degree Computer Science at National Taiwan University
Github Skills (3)
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chrome6
safari5
Github contributions (3)
sw2/taskbaric
Mar 2015 - Aug 2016
Contributions:5 commits, 4 pushes, 1 branch in 1 year 5 months
sw2/itoln
May 2015 - Feb 2018
Contributions:6 commits, 4 PRs, 8 pushes in 2 years 9 months
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