Zach Corse
R&D Engineer In Graphics And Simulation
Kent, Connecticut, United States
Summary
🤩
Rockstar🎓
Top SchoolZach Corse is an R&D engineer specializing in graphics and simulation with a decade of experience building high-performance GPU software at NVIDIA. He blends deep physics and mathematical training (BS and MA in Physics) with creative studio practice (MFA and architecture studies), enabling a rare cross-disciplinary approach to visual computation. At NVIDIA he contributes to core GPU simulation tooling—most notably adding numerical and noise functions to the widely used NVIDIA/warp Python framework—demonstrating both numerical rigor and performance-oriented engineering. His background includes graduate research and teaching in advanced computer graphics and hands-on prototyping across industry and labs, from MIT Lincoln Laboratory to game-driven training at AdMed. Colleagues cite him as the kind of engineer who moves seamlessly between adjoint gradient math and pragmatic implementation details, optimizing both correctness and speed. Based in Kent, Connecticut, he combines academic depth with production-grade open-source contributions.
10 years of coding experience
1 year of employment as a software developer
University of California Santa CruzMaster of Science in Engineering in Computer Graphics and Game Technology, Computer Graphics, Master of Science in Engineering in Computer Graphics and Game Technology, Computer Graphics at University of PennsylvaniaBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Duke UniversityMaster of Arts (M.A.), Physics, Master of Arts (M.A.), Physics at The University of Texas at AustinArchitecture, Architecture at Harvard University Graduate School of Design
German, Spanish, English
Github Skills (14)
vector10
cuda10
randomization10
gpu-programming10
mathlib10
c-language10
vector-math10
cprogramming-language10
math10
python10
numerical-computing10
math-library10
maths10
linear-algebra9
Programming languages (5)
Github contributions (5)
NVIDIA/warp
Dec 2021 - Feb 2022
A Python framework for high performance GPU simulation and graphics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 29 commits, 22 comments in 2 months
Contributions summary:Zach primarily contributed to the `warp` library by adding and modifying mathematical functions, specifically focusing on power and noise functions for scalar and vector types. Their work included implementing `pow`, `pnoise`, and related adjoint functions for gradient calculations. Furthermore, the user integrated and tested pseudo-random number generator (PCG) functions, demonstrating an understanding of numerical computation and performance optimization within a GPU-focused framework.
cudapythongpucomputer-graphicssimulation
daedalus5/FEM
Feb 2018 - Mar 2018
Contributions:73 commits, 39 pushes, 1 branch in 28 days
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