Shuzhan Sun is a software engineer with a decade of experience combining deep academic research and production-grade engineering across EDA and cloud-scale systems. With a PhD in ECE from Purdue and roles at Cadence and Google, he has shipped C++ and Linux-based solutions that improved memory, runtime, and parallel scalability for circuit simulation and layout analysis. His research produced a 15K+ line open-source tool integrated into OpenROAD and novel parallel domain-decomposition solvers, reflecting a rare ability to turn numerical methods into practical tooling for VLSI at advanced nodes. Comfortable moving between theory and implementation, he has published award-recognized work on stability and multi-physics simulation and accelerated algorithms by orders of magnitude. Based in Sunnyvale, he blends rigorous physics and ECE foundations with pragmatic software craftsmanship to tackle large-scale simulation and performance bottlenecks.
10 years of coding experience
6 years of employment as a software developer
Summer exchange student, Physics, Summer exchange student, Physics at University of Oxford
Bachelor’s Degree, Physics, Major GPA 92.0/100, Bachelor’s Degree, Physics, Major GPA 92.0/100 at University of Science and Technology of China
Master's degree, Physics, GPA 3.91/4.0, Master's degree, Physics, GPA 3.91/4.0 at Purdue University
Contributions:4 commits, 2 pushes, 1 branch in 1 day
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