Charlie Sievers
Software Engineer at Boeing
Renton, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolCharlie Sievers is a software engineer with seven years of experience building high-performance, research-driven systems for both national labs and aerospace. He developed parallel Python/C++ machine learning pipelines at Sandia National Laboratories to model interatomic interactions on hybrid supercomputing architectures and now focuses on OS development for embedded systems at Boeing. His open-source contributions to the widely used LAMMPS molecular dynamics project emphasize build systems, documentation, and physics-focused improvements in the USER-PHONON package, reflecting a rare blend of scientific rigor and engineering polish. Trained as a computational chemist (PhD, UC Davis) with a BS in chemistry, he translates domain science into production-ready code across distributed and resource-constrained environments. Colleagues value his ability to make complex tooling reproducible and usable, from compiler configurations to parallel algorithm implementations.
8 years of coding experience
Doctor of Philosophy - PhD, Computational Chemistry, Doctor of Philosophy - PhD, Computational Chemistry at University of California, DavisCalifornia Polytechnic State University, San Luis Obispo
Github Skills (11)
simulations10
simulation10
c-language10
cmake10
molecular-dynamics-simulation10
cprogramming-language10
makefile10
molecular-simulation10
nonlinear-dynamics10
documentation9
k7
Programming languages (6)
Github contributions (5)
lammps/lammps
Mar 2020 - Mar 2022
Public development project of the LAMMPS MD software package
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 29 commits, 19 PRs in 2 years
Contributions summary:Charlie primarily contributed to the build system and documentation within the LAMMPS molecular dynamics software package. Their commits show modifications to build instructions (CMake and traditional make), including compiler settings and dependency information. The user also made changes to the code's documentation, demonstrating a focus on usability and clarity for users who build and use the software. The commits also include specific improvements to the dynamical matrix and third order tensor implementations within the USER-PHONON package.
lammpsmolecular-dynamicssimulationkokkos
charlessievers/lammps
Jan 2019 - Apr 2022
Public development project of the LAMMPS MD software package
Contributions:187 pushes, 12 branches in 3 years 3 months
lammps
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