Yan Song is a Staff NPI Test Engineer with nine years of focused experience in system validation, manufacturing test automation, and reliability engineering across AR/VR, medical robotics, and semiconductor imaging. He has repeatedly reduced test cycle time and human effort by automating data analysis and test flows—often turning multi-day processes into hours—while leading transfers of test processes from R&D to high-volume manufacturing. Comfortable debugging both software tools and hardware-in-the-loop systems, Yan has driven GR&R studies, FMEA, and test fixture releases and worked cross-functionally to harden production readiness. His background spans top labs and companies (Microsoft, Facebook, J&J/Auris, Varex) and reflects deep hands-on skills in Python scripting, ATE test platforms, and camera/sensor alignment. Based in California and educated in physics at Auburn and USTC, he brings a rare blend of academic rigor and practical manufacturing impact—often surfacing subtle environmental causes of false failures through temperature and event-profile analyses.
9 years of coding experience
19 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Science and Technology of China
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