Hang Yang

System Integration Engineer

Palo Alto, California, United States
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor’s Degree, Bachelor’s Degree at Trinity College-Hartford
bookMaster’s Degree, Master’s Degree at Stanford University
languagesChinese
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Stackoverflow

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Github Skills (9)

regular-expression10
c-language10
cprogramming-language10
optimization10
data-structure9
algorithm9
data-structures9
unit-testing9
algorithms9

Programming languages (1)

C++

Github contributions (4)

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intel/hyperscan

May 2017 - Oct 2022

High-performance regular expression matching library
Role in this project:
userBackend Developer
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.
regular-expressionsnfaregexmatchingregular-expression
hongyang7/ClickHouse2

May 2023 - May 2023

ClickHouse® is a free analytics DBMS for big data
Contributions:8 pushes, 2 branches in 3 days
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Hang Yang - System Integration Engineer