Hyunjae Woo
Senior Software Engineer at NVIDIA
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHyunjae Woo is a Senior Software Engineer based in San Francisco with four years of professional experience focused on machine learning systems and software engineering. After studying computer science at the University of Michigan (BS and MS), he progressed through intern and full-time software roles at NVIDIA and was promoted to senior engineer in 2025. He combines research experience from the University of Michigan with hands-on production work at a leading GPU and AI company, shipping performance-sensitive software for ML workloads. Comfortable at the intersection of systems and ML, he brings academic rigor to large-scale engineering problems and a practical bias toward shipping robust solutions. Colleagues describe him as someone who levels up teams by translating research ideas into performant code and production-ready systems. He’s quietly building domain expertise in GPU-accelerated ML pipelines that bridge research and product needs.
3 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Michigan College of Engineering
English, Korean
Stackoverflow
23reputation
3kreached
0answers
2questions
Github Skills (28)
nvidia-docker10
python10
analyzer10
tensorrt10
java-client10
machine-learning10
inference10
java10
scala10
nvidia10
triton10
performance-analysis10
deep-learning10
gpu10
golang10
Programming languages (4)
Github contributions (5)
triton-inference-server/perf_analyzer
Aug 2024 - Apr 2025
Contributions:264 reviews, 73 PRs, 139 pushes in 7 months
triton-inference-server/client
Jul 2023 - Sep 2024
Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
Contributions:370 reviews, 125 PRs, 345 pushes in 1 year 1 month
golangpythongrpcscalaclient-libraries
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