Jichuan Chang
Engineering Director at Google DeepMind
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolJichuan Chang is an engineering director based in San Jose with nine years of leadership at Google and DeepMind focused on infrastructure for large-scale ML systems and next-generation computing platforms. He combines deep R&D and systems-architecture expertise—especially in memory and storage systems—with hands-on hardware/software co-design to drive performance and TCO gains across the stack. At DeepMind he now leads ML Pathways, building distributed runtimes and orchestration to scale pre-training and multi-host serving, following a string of platform and performance leadership roles at Google. His background spans academic research and industry tech-transfer (HP Moonshot) to production fleet optimizations, reflecting a rare ability to take novel architectures from simulation to hyperscale deployment. Colleagues know him for blending rigorous research instincts with pragmatic engineering to unlock new model and system capabilities.
9 years of coding experience
24 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Sciences, Doctor of Philosophy (Ph.D.) Computer Sciences at University of Wisconsin-MadisonMS and BS Computer Science, MS and BS Computer Science at Peking UniversityQingdao No. 2 High SchoolPhD student Computer Science, PhD student Computer Science at Carnegie Mellon University
Github Skills (30)
cpp8
embedded8
database8
sql8
ether8
solidity7
analytics7
rust7
smart-contracts6
cloud-native6
rxjava6
clickhouse6
dbms6
android-library6
ai6
Programming languages (4)
Github contributions (5)
vincentail/resources_book
Mar 2019 - Jun 2020
Contributions:20 commits, 25 pushes, 1 branch in 1 year 3 months
vincentail/vincentail.github.io
Sep 2019 - Aug 2021
Contributions:9 pushes, 1 branch in 1 year 11 months
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