Haoxing Zhang
System Electrical Engineer Smart Glass Team at Meta
Campbell, California, United States
Summary
👤
Senior🎓
Top SchoolHaoxing Zhang is a systems electrical engineer with 12 years of experience designing and delivering consumer electronics, currently working on Meta’s Smart Glass team after roles at Snap, Google Nest, and Amazon (including Lab126 and AWS). He combines deep hands-on hardware design—schematic capture, PCB/FPC layout constraints, power delivery and battery modeling—with system-level program leadership that balances feature, cost, quality and schedule from concept through mass production. At Google Nest he led EE design for flagship products like Nest Hub Max and the battery-powered Nest Camera, and at AWS he was the lead EE for Echo Frames, proving expertise in ultra-constrained wearable systems. Haoxing also contributes to open-source tooling and testing infrastructure—improving the Python-MATLAB bridge’s test suite—reflecting a maker’s mindset that spans HW and SW. Based in Campbell, CA and trained at Stanford and Zhejiang University, he is known for zooming in to solve technical details while keeping a pragmatic, product-focused zoomed-out perspective.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.) Electrical and Electronics Engineering at Zhejiang UniversityMaster's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Stanford University
English, Chinese
Github Skills (6)
python10
numpy10
test-automation10
testing10
matlab9
json8
Programming languages (1)
Github contributions (5)
arokem/python-matlab-bridge
Nov 2013 - Apr 2014
A simple Python => MATLAB(R) interface and a matlab_magic for ipython
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:137 commits in 4 months
Contributions summary:Haoxing focused on improving the testing infrastructure for the Python-MATLAB bridge. They rewrote and expanded the testing framework, introducing tests for various data types and operations, including precision, dictionary handling, and complex numbers. The user added several test files, and made modifications to existing files, demonstrating a commitment to comprehensive testing and improved reliability of the library. Furthermore, the user refactored the tests into a class structure for better organization.
pythonmatlabmagicoctaveipython
haoxingz/emmc5_register_reader
Aug 2014 - Oct 2014
Contributions:12 commits in 1 month
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