Adam Jacobs
HPC - Senior CI Build-and-Release Engineer at NVIDIA
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAdam Jacobs is a Senior HPC CI Build-and-Release Engineer at NVIDIA with 14 years of experience applying scientific software and high-performance computing expertise to enterprise-scale DevOps and platform engineering. He architects and automates build-and-release pipelines for deep learning frameworks (PyTorch, TensorFlow, MXNet) and runs CI/CD on large HPC systems like NVIDIA’s Selene and the DL frameworks Slurm cluster. A former computational nuclear astrophysicist and open-source contributor (notably to the AMReX AMR framework), he combines rigorous scientific software practices with cloud IaC (Terraform, Ansible) and container tooling to deliver performant, secure NGC containers used in MLPerf submissions. He’s skilled at capacity planning and hybrid infrastructure procurement, deploying both data-center hardware and cloud resources across AWS, Azure, GCP and OCI. Colleagues rely on him to reduce friction between researchers and systems—letting engineers focus on models rather than the platform—and he brings a proven track record of turning leadership-class HPC workflows into repeatable production processes.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Nuclear Astrophysics, Doctor of Philosophy (Ph.D.), Computational Nuclear Astrophysics at Stony Brook UniversityBachelor of Arts (BA), Physics and Computer Science (Double Major), summa cum laude, Bachelor of Arts (BA), Physics and Computer Science (Double Major), summa cum laude at Hendrix College
Github Skills (6)
fortran10
cluster-computing10
parallel-computing10
amr10
scientific-computing10
makefile8
Programming languages (11)
Github contributions (5)
AMReX-Codes/amrex
Feb 2013 - Jun 2016
AMReX: Software Framework for Block Structured AMR
Role in this project:
Back-end Developer
Back-end DeveloperContributions:45 commits, 1 issue in 3 years 4 months
Contributions summary:Adam primarily focused on improving the `faverage.f90` file, a component of the AMReX framework. Their work involved correcting and enhancing the weighting of data from coarse cells within the AMR (Adaptive Mesh Refinement) context, impacting the accuracy of postprocessing calculations. They also updated a makefile to reflect system changes from the jaguar to the titan supercomputer. Additionally, they contributed to the merging of changes from the BoxLib repository.
amrmpistructuredsnl-applicationsmultiphysics
starkiller-astro/ode-openacc
Jun 2015 - Oct 2016
Contributions:20 commits, 16 pushes in 1 year 3 months
cudasolvingopenaccreactiongpu
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