Summary
Shuai Che is a senior engineer with 11 years of experience specializing in computer architecture, parallel and heterogeneous computing, and GPGPU acceleration. Currently on Microsoft’s Project Brainwave within Bing AI + Research, he focuses on deep learning acceleration platforms that bridge research and production at scale. His background spans industry research at AMD (including DOE Exascale efforts), machine learning platform work at Alibaba, and benchmark development for SPEC’s accelerator suite, reflecting deep expertise in high-performance computing and benchmarking. He holds an M.S. and Ph.D. in Computer Engineering from the University of Virginia and a B.Eng. from Shanghai Jiao Tong University, combining rigorous academic training with practical system-building. Known for bringing parallel algorithms and graph-processing insights into hardware-aware optimizations, he often operates at the intersection of algorithm design and accelerator implementation. Based in Bellevue, WA, he blends research pedigree with hands-on engineering to deliver performant ML infrastructure.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at University of Virginia
Bachelor of Engineering (B.Eng.), Instrument Science and Engineering, Bachelor of Engineering (B.Eng.), Instrument Science and Engineering at Shanghai Jiao Tong University