Hang Yang is a System Integration Engineer with 9 years of hands-on experience building and validating autonomous driving systems, currently based in Palo Alto and working at Zoox. He combines multidisciplinary hardware and software expertise—from HIL and sensors to embedded C/C++ and Python test automation—to drive systems integration, verification, and data-driven validation. Prior roles at Intel and Apple and a Stanford master’s background underpin a strong foundation in mechatronics, control, and vehicle networks (CAN/LIN/Ethernet). An active contributor to high-performance open-source tooling, he has optimized core regex-matching internals in Intel’s hyperscan project, reflecting low-level performance and compression skill beyond typical vehicle systems work. Known for pragmatic problem-solving and clear cross-functional communication, he excels at turning complex integration challenges into reliable, testable systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at Trinity College-Hartford
Master’s Degree, Master’s Degree at Stanford University
Contributions:2 reviews, 51 commits, 67 comments in 5 years 6 months
Contributions summary:Hang contributed significant code focused on multi-bit compression support within the hyperscan library, specifically related to regular expression matching. Their work included the implementation of compression and decompression routines, alongside unit tests to validate their functionality. The commits touch on internal utility functions, suggesting the user's involvement in the optimization and enhancement of the core matching engine. Further contributions involved position changes and fixes within the McClellan compilation process, suggesting they worked to improve the performance of the DFA state compression.
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