Hyoungwook Nam
Applied Scientist at Amazon
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolHyoungwook Nam is a Member of Technical Staff specializing in ML software and hardware with a decade of experience spanning GPU kernels, compilers, kernels, distributed systems, and large-scale training clusters. He holds a PhD in Computer Science from UIUC and has applied his research in computer architecture and ML to production projects at AWS (Trainium), Intel (Triton compiler), Google (distributed training benchmarks), and NVIDIA. His work bridges low-level performance engineering—GPU kernel optimization and compiler integration—with higher-level systems like collective communication and cluster-scale ML performance. Based in Cupertino, he moves fluidly between research and engineering, frequently translating academic ideas into production-grade compiler and runtime improvements. Notably, he has experience integrating novel kernels with torch.compile and compiling Torch workloads for specialized accelerators, reflecting deep expertise in cutting-edge ML toolchains. Colleagues value him for combining rigorous research instincts with hands-on systems delivery across cloud and accelerator ecosystems.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, 3.8/4.3, Bachelor's degree, Computer Science, 3.8/4.3 at 서울대학교 (Seoul National University)University of Illinois Urbana-Champaign
Github Skills (30)
intel10
triton10
code-generation10
programming-language9
python9
machine-learning9
gpu9
deep-learning9
compiler9
oneapi8
numpy8
neural-network8
llvm8
generalization8
modular7
Programming languages (6)
Github contributions (5)
hwnam831/jRAPL-percore
Jun 2022 - Mar 2025
Contributions:210 pushes, 6 branches in 2 years 9 months
hwnam831/cloudlab-openwhisk
Jun 2022 - Mar 2025
CloudLab profile for deploying OpenWhisk via Kubernetes
Contributions:4 PRs, 331 pushes, 14 branches in 2 years 9 months
deployingserverlesskubernetesawsopenwhisk
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