Tom Tang
Software Engineer at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolTom Tang is a software engineer with nine years of practical experience who is completing an MS in Computer Science at Carnegie Mellon University and joining NVIDIA as a full-time engineer in May 2025. He brings repeated internship and research experience in graphics profiling, display drivers, and computer architecture from multiple stints at NVIDIA and CMU's CAOS group, combining device-level systems insight with software engineering polish. Comfortable working at the intersection of hardware and software, he has shipped intern projects that span low-level driver work and performance tooling. Based in California, Tom is actively seeking new graduate software engineering opportunities and connects academic rigor with production-oriented development. A less obvious strength is his continuity across the same company at progressively responsible roles, showing rapid learning and domain specialization in graphics and systems.
9 years of coding experience
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Carnegie Mellon University
Github Skills (2)
javascript2
nodejs2
Github contributions (5)
tensor-native-processor/tnp
Nov 2022 - Jan 2023
Contributions:377 commits, 230 pushes, 52 branches in 2 months
hyabc/sdhyabc
Jul 2016 - Sep 2017
Contributions:2 PRs, 29 pushes, 5 branches in 1 year 3 months
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