Principal Research Scientist Engineering Director at ByteDance
Issaquah, Washington, United States
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Summary
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Li-wen Chang is a Distinguished Research Scientist and Engineering Director specializing in AI compilers, distributed training/inference, and SW–HW co-design for GPUs and AI ASICs, currently setting roadmap and driving production-scale model deployment at ByteDance Seed. With eight years of industry experience built on a deep academic foundation from UIUC, she has translated MLIR/LLVM-based research into systems that run LLMs and generative models across tens of thousands of accelerators and millions of users. Previously at Microsoft Cloud & AI, she led compiler and runtime efforts in ONNX Runtime, delivering multi-fold cost and performance gains for production services. She combines hands-on compiler/kernel synthesis work (including Triton extensions and confidential ASIC backends) with cross-disciplinary leadership across programming languages, hardware architecture, and distributed systems. Notably, she has incubated agentic coding systems and a model performance estimation program, moving prototypes into internal production. Based in Issaquah, WA, she is passionate about building high-performance, production-ready AI infrastructure and strong technical teams.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at National Taiwan University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Illinois Urbana-Champaign
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