Summary
Jen-chieh Huang is a software engineer with 12 years of experience specializing in DNN/ML inference, compiler design, and low-power real-time systems, currently contributing to Waymo from San Jose. He built and optimized compilers for CV/ML ASIPs at Ambarella, cutting compiler memory use in half and accelerating key processing by 90% while designing IRs, lowering pipelines, and emulation environments. His background spans embedded Linux, modem and protocol stack design, and SW-HW co-design from roles at MediaTek, FIH, and academic research—bringing rare depth across firmware, compiler internals, and machine learning inference. Pragmatic about precision vs. performance trade-offs, he focuses on production-quality automation, ASIL-ready development, and measurable system-level gains. Colleagues describe him as peculiarly creative in problem solving, combining rigorous academic training with hands-on engineering across multiple architectures.
12 years of coding experience
16 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at National Chiao Tung University
highschool
Master of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Columbia University in the City of New York
Master of Science (MS), Computer Science, 4.00/4.00, Master of Science (MS), Computer Science, 4.00/4.00 at National Tsing Hua University
English, Chinese, Japanese