Tony Huynh - Engineer at NVIDIA

Tony Huynh

Engineer at NVIDIA

San Jose, California, United States

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Summary

👤

Senior

🎓

Top School

Tony Huynh is an experienced engineer with 8+ years building and supporting complex HW/SW systems across data storage, virtualization, and networking domains, currently contributing at NVIDIA in San Jose. He combines deep hands-on skills in Linux/Windows administration, PXE/Kickstart automation, storage filers and TCP/IP protocols with proven lab engineering and NPI test-development expertise. Tony has led integration, verification and functional test fixture design while managing R&D lab operations and Atlassian-based workflows. His open-source contributions to the CMake project—adding Flang and NVHPC compiler support—showcase a knack for solving cross-toolchain build and compiler-detection challenges. Known for methodical failure analysis and system-level troubleshooting, he pairs technical rigor with effective team communication and independent execution. With a B.S. in Computer Engineering from UC Davis, he brings practical engineering pragmatism to large-scale platform testing and sustainment.

8 years of coding experience

10 years of employment as a software developer

B.S, Computer Engineering, B.S, Computer Engineering at University of California, Davis

Associate of Science (AS), Electrical and Electronics Engineering, Associate of Science (AS), Electrical and Electronics Engineering at De Anza College

English, Vietnamese, Chinese

Github Skills (7)

fortran10

cmake10

compiler-development10

openmp9

llvm8

cprogramming-language7

c-language7

Programming languages (2)

C++C

Github contributions (2)

Kitware/CMake

Aug 2017 - Jul 2021

Mirror of CMake upstream repository

Role in this project:

Back-end Developer

Contributions:11 commits in 3 years 11 months

Contributions summary:Tony significantly contributed to the CMake build system by adding support for the Flang Fortran compiler, including updating existing modules and creating new ones to facilitate its integration. This encompassed modifications to compiler detection, flag handling, and the creation of specific modules to locate Flang's utilities. The user also added support for the NVHPC compiler, integrating it into the build system alongside PGI, and addressed issues related to OpenMP and PGI flags. Furthermore, they improved the build system by adding support for LLVM Flang.

cppcmakeupstream

NVIDIA/thrust

Feb 2021 - Feb 2021

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

Contributions:1 comment in 1 day

c-plus-pluscxxnvidia-hpc-sdknvidiacpp20

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