Shaoyi Peng is a software engineer with nine years of experience who blends a PhD-level background in electrical and electronics engineering with hands-on systems programming in C++ and Python. Currently at Cerebras Systems, he focuses on runtime systems and debug tooling for large-scale ML hardware, having previously built model-compilation and layer-extraction flows that bridge teams and simplify debugging. His research on VLSI reliability simulation and numerical methods informs pragmatic solutions for performance and robustness in simulation and runtime environments. Past internships at Cadence produced production-ready performance models and vectorized C functions, showing a track record of turning research into deployable engineering. Based in the United States, he brings both deep academic rigor and practical cross-team collaboration to complex ML systems engineering.
9 years of coding experience
Bachelor of Science - BS, Microelectronics, Bachelor of Science - BS, Microelectronics at Fudan University
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of California, Riverside
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Shaoyi Peng - Software Engineer at Cerebras Systems