Yang Gao is a software engineer with nine years of experience building high-performance C++ systems for EDA and scientific computing, currently at Microsoft after several senior engineering roles at Cadence Design Systems. He has deep expertise in timing analysis, statistical on-chip variation, and numerical solver optimization—skills honed implementing analytic Jacobians, ODE solvers, and combustion models for Convergent Science and earlier internships. Yang pairs rigorous academic training (PhD in Mechanical Engineering, strong exchange record at UConn, and a high-performing undergraduate degree from Xi'an Jiaotong) with a track record of pragmatic engineering that produced up to 100x speedups in combustion solver work. He excels at turning complex numerical algorithms into production-ready software for demanding engineering toolchains and is comfortable bridging research and product development. Based in San Jose, he brings both domain depth in simulation/EDA and a history of shipping robust, performance-critical code at scale.
9 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Major:Energy, Power System and Automation, GPA 90.1/100, Bachelor's Degree, Major:Energy, Power System and Automation, GPA 90.1/100 at Xi'an Jiaotong University
Honor Exchange Program, Mechanical Engineering, GPA 3.83/4.0, Honor Exchange Program, Mechanical Engineering, GPA 3.83/4.0 at University of Connecticut
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