Po-han Huang is a Senior Solutions Architect based in the San Francisco Bay Area with nine years of experience designing and scaling high-performance systems for AI and HPC. At NVIDIA he moved from system software engineering to architecting solutions for partners like DeepMind and Google, and was recognized as a top 10% contributor for impactful cross-team work. His background spans silicon bring-up, multi-GPU performance features for DGX H100, cloud cluster automation for hybrid HPC deployments, and an inference framework for scientific AI on the Perlmutter supercomputer. Po-han blends low-level hardware troubleshooting with full-stack software automation, enabling supercomputers and cloud platforms to serve leading AI enterprises and governments. He holds advanced training from Georgia Tech and Stanford and brings a disciplined operational mindset honed as a former infantry squad leader during mandatory service. Curious by nature, he often bridges research and product needs to turn experimental AI workloads into reliable production pipelines.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Shanghai Jiao Tong University
Master's degree Computational Science and Engineering (College of Computing), Master's degree Computational Science and Engineering (College of Computing) at Georgia Institute of Technology
Technology and Engineering Management Certificate, Technology and Engineering Management Certificate at Stanford University
Contributions:9 commits, 8 pushes, 1 branch in 1 month
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Po-han Huang - Senior Solutions Architect at NVIDIA