Stephen Sachs
Principal HPC Performance Engineer at NVIDIA
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolStephen Sachs is a Principal HPC Performance Engineer with seven years of focused experience enabling GPU-accelerated workloads and large-scale HPC applications across cloud and supercomputing environments. Based in Berlin, he has progressed from hands-on application porting and customer-facing support at Cray to senior HPC roles at AWS and now leads partner enablement for GPU communications at NVIDIA. He combines deep numerical and mathematical training (Dr. rer. nat., Mechanical Engineering; Diploma in Mathematics) with practical build-and-release expertise—contributing to Spack to smooth compiler, dependency and build issues for key scientific packages. Known for bridging developer experience and performance tuning, he excels at translating complex compiler and MPI challenges into reproducible, deployable solutions for partners and customers. An uncommon strength is his blend of academic rigor and production-focused tooling that accelerates adoption of cutting-edge HPC stacks.
7 years of coding experience
4 years of employment as a software developer
Mathematics, Mathematics at Universität TrierTechnischen Universität Darmstadt
English, German
Github Skills (9)
build-system10
hpc10
package-management10
scientific-computing10
python9
cmake8
mpi7
fortran6
build-automation6
Programming languages (14)
Github contributions (5)
spack/spack
Mar 2021 - Jan 2023
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Back-end Developer / Build & Release Engineer
Back-end Developer / Build & Release EngineerContributions:93 reviews, 39 commits, 110 PRs in 1 year 10 months
Contributions summary:Stephen primarily contributes to the package management system, Spack, focusing on integrating and configuring software packages, particularly those related to high-performance computing (HPC) and scientific computing. Their work includes adding compiler wrappers, modifying build systems to accommodate Intel compilers, fixing build errors, and incorporating new versions and variants for various software packages like LAMMPS, MPAS-Model, and OpenFOAM. The user also actively addresses issues related to dependencies and build processes within Spack.
compilerspythonradiussplatformslinux
stephenmsachs/aws-parallelcluster
Jul 2019 - May 2024
AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
Contributions:10 pushes, 8 branches in 4 years 10 months
aws-cloudclusterscluster-managementhpc-clusterssupported
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