Tony Liu is an AI infrastructure leader and manager with 11 years of experience building high-performance GPU, compiler, and large-scale systems for production ML. He has driven cross-org technical strategy and execution at Meta and now leads GPU-focused engineering at Anthropic, delivering measurable impact such as 12MW (~$100M+) savings across LLM and recommendation workloads. Tony combines hands-on expertise in GPU kernels and PyTorch performance with a proven ability to scale global teams and own long-term infra roadmaps. Based in Palo Alto, he’s known for turning low-level performance engineering into strategic leverage for product teams and for a pragmatic focus on operationalizing cutting-edge ML compute.
11 years of coding experience
9 years of employment as a software developer
Bachelor’s Degree, Bachelor’s Degree at National Chiao Tung University
Master’s Degree, Master’s Degree at National Taiwan University
University of Illinois Urbana-Champaign
Master’s Degree, Master’s Degree at University of North Carolina at Chapel Hill
Contributions:115 pushes, 1 branch in 2 years 2 months
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Tony Liu - Member Of Technical Staff (Manager) at Anthropic