Craig Tierney
Arvada, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolCraig Tierney is an experienced HPC architect and technical leader with over a decade guiding government and academic supercomputing initiatives, most recently in senior engineering and architect roles at NVIDIA. He blends hands-on systems engineering—spanning compute, interconnect, filesystems, batch systems and software stacks—with strategic responsibilities in capture, proposal development, and corporate HPC strategy. Craig has led HPC operations and integration for NOAA and multiple federal agencies, helped secure large HPC contracts, and supported earth science research through both university and government partnerships. He is an active contributor to GPU-cluster tooling (notably commits to NVIDIA/deepops improving UCX/HPCX workflows and Singularity integration), showing a practical focus on performance tuning and containerized deployment. With a Ph.D. in Aerospace Engineering Sciences and a background in oceanographic remote-sensing research, he brings uncommon domain depth that informs system design choices for computational science workloads.
9 years of coding experience
25 years of employment as a software developer
B.S., Engineering Mechanics, B.S., Engineering Mechanics at University of Wisconsin-MadisonPh.D., Aerospace Engineering Sciences, Ph.D., Aerospace Engineering Sciences at University of Colorado Boulder
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
sh10
container10
script10
shell10
slurm10
devops10
scripting10
singularity10
openmpi9
cuda9
Programming languages (2)
Github contributions (5)
NVIDIA/deepops
Aug 2020 - May 2021
Tools for building GPU clusters
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 reviews, 65 commits, 7 PRs in 9 months
Contributions summary:Craig's commits primarily focused on modifying and updating scripts related to building and running GPU clusters. They made changes to shell scripts used for tasks such as submitting HPL (High-Performance Linpack) benchmark jobs and configuring environments for running CUDA applications. The contributions include updates to UCX (Unified Communication X) for performance, migration to HPCX, and integration of Singularity container usage for deployments.
gpuclusters
ctierneynv/deepops
Jul 2020 - May 2021
Tools for building GPU clusters
Contributions:1 PR, 53 pushes, 3 branches in 9 months
gpuclusters
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