Principal Solutions Architect -- Accelerated Computing (AI, HPC)
San Francisco Bay Area United States
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Summary
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Rockstar
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Top School
Jianying Lang is a Principal Solutions Architect at AWS specializing in accelerated computing for AI and HPC, with eight years in industry and a PhD in computational physics. She combines hands-on deep learning and HPC engineering with cloud infrastructure design, helping bridge large-scale scientific codes to modern GPU and AWS architectures. Prior roles at Intel and national labs include porting and optimizing particle-in-cell and fusion simulation codes across CPUs, GPUs, and heterogeneous supercomputers, often achieving multi‑fold performance gains. Based in the San Francisco Bay Area, she brings rare domain expertise that blends physics insight, low-level performance tuning, and cloud-scale deployment—making her adept at moving extreme-scale workloads from prototype to production.
8 years of coding experience
19 years of employment as a software developer
BS Physics, BS Physics at University of Science and Technology of China
Doctor of Philosophy (PhD) Physics (Computational), Doctor of Philosophy (PhD) Physics (Computational) at University of Colorado Boulder
nGraph - open source C++ library, compiler and runtime for Deep Learning
Contributions:72 commits, 2 PRs, 93 pushes in 10 months
inference-enginecppc-librarydeep-learningtvm
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Jianying Lang - Principal Solutions Architect -- Accelerated Computing (AI, HPC)