Hi, I’m Ziyi (Zayne) Xi, a software engineer at Google Cloud Platform Infrastructure Engineering (PIE). In my work, my primary focus is on developing infrastructure to support hardware validation, including platforms for new machine architectures, GPUs, and TPUs.
Before joining Google, I earned a Ph.D. in Computational Science from Michigan State University. My dissertation, titled Seismic Studies of Western Pacific Subduction Zones With High-Performance Computing and Deep Learning, combined my interests in geophysics and cutting-edge computational methods. I completed my undergraduate studies in geophysics and computer science at the University of Science and Technology of China.
Recently, I’ve developed a keen interest in machine learning computational infrastructure, particularly in optimizing computational speed using tools like CUDA. One of my goals for this year is to explore building a Rust package for CUDA, as the current implementation could benefit from better maintenance. This project will require deep dives into LLVM, Rust macros, and CUDA—a challenge I’m eager to tackle in my spare time.
Outside of work, I enjoy exploring new cuisines in the Bay Area and have recently taken up photography, which I hope will inspire me to get outdoors more and enrich my personal life. That said, I’m equally content staying in, writing blog posts, and enjoying the coziness of home.
Made with 💕 in Santa Clara, California