Seonmyeong Bak
Senior System Software Engineer - AI Resiliency at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolSeonmyeong Bak is a Senior System Software Engineer with 10 years of experience building and optimizing runtime systems from embedded engines to large-scale HPC clusters. Currently at NVIDIA, they focus on AI resiliency—automatic error attribution and fast restart with optimal checkpointing—for extreme-scale deep learning training, after driving communication and storage performance work in pre-deployment clusters. Their PhD research and prior national-lab work advanced integrated programming models, task-graph scheduling, and user-directed scheduling for irregular, sparse computations, bringing both theory and production-grade runtime implementations together. Comfortable across Charm++, Adaptive MPI, OpenMP and lightweight threading, they combine deep performance engineering with practical system design. A detail that surprises: their background spans both garbage-collector optimization for JavaScriptCore and large-scale task scheduling, reflecting a rare breadth from language runtimes to cluster resiliency.
10 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at Seoul National UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of TechnologyDoctor of Philosophy (Ph.D.) Transferred Computer Science, Doctor of Philosophy (Ph.D.) Transferred Computer Science at University of Illinois Urbana-ChampaignBachelor's Degree Computer Engineering, Bachelor's Degree Computer Engineering at Sungkyunkwan University
English, Korean
Github Skills (34)
issue-tracking10
ppl9
mpi9
scale9
redmine9
cuda9
python8
gpu8
machine-learning8
charm8
asynchronous-tasks7
parallel-computing7
gerrit7
ranking7
gpu-acceleration7
Programming languages (2)
Github contributions (5)
sbak5/cunumeric
Dec 2021 - Sep 2022
An Aspiring Drop-In Replacement for NumPy at Scale
Contributions:84 pushes, 11 branches in 9 months
pythondrop-innumpymachine-learningscale
pmodels/omp-user-sched
Sep 2019 - Mar 2024
Contributions:11 pushes, 1 branch in 4 years 7 months
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