Eric Heiden
Senior Research Scientist at NVIDIA
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Heiden is a Senior Research Scientist at NVIDIA with a decade of experience building high-performance simulation and robotics systems. Based in Mountain View, he develops GPU-accelerated simulation technology such as Newton and contributes to the widely used nvidia/warp framework, focusing on performance profiling, numerical robustness, and cross-platform reliability. His background spans deep learning and robotics research roles at NVIDIA and Google, plus hands-on autonomy work at JPL and systems work at ISI and Two Sigma. He holds an MS and is pursuing a PhD in Computer Science from USC, blending rigorous academic training with production-grade engineering. Notably, he has implemented Ceres-based system identification for real double-pendulum data and experimented with neural control and friction models, reflecting a rare mix of physics-based modeling and ML-driven control. He combines low-level CUDA/C++ expertise with practical profiling and tooling to deliver faster, more accurate simulation stacks for robotics research and applications.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Southern CaliforniaBachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of RostockAbitur (secondary-school diploma), 1.1 (Valedictorian), Abitur (secondary-school diploma), 1.1 (Valedictorian) at Alexander-von-Humboldt-Gymnasium Greifswald
German, English, French
Github Skills (18)
simulation10
c-language10
python10
simulator10
simulations10
ceres-solver10
gpu-programming10
git-repository10
physics10
cuda10
cprogramming-language10
github-repos10
trainings9
performance-optimization9
numerical-methods9
Programming languages (6)
Github contributions (5)
NVIDIA/warp
Apr 2022 - Dec 2022
A Python framework for high performance GPU simulation and graphics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 50 commits, 61 comments in 7 months
Contributions summary:Eric contributed to the `nvidia/warp` repository, a framework for GPU simulation and graphics, by implementing features related to performance and functionality. They added support for NVTX profiling in the `ScopedTimer` utility, enhancing the framework's ability to track and analyze performance bottlenecks. Code changes include modifications to articulation and build scripts, and the integration of finite number checks, indicating a focus on numerical accuracy and optimization. The user also addressed specific issues, such as correcting the loading of dynamic link libraries on Windows.
cudapythongpucomputer-graphicssimulation
eric-heiden/warp
Sep 2022 - Feb 2025
A Python framework for high performance GPU simulation and graphics
Contributions:121 pushes, 11 branches in 2 years 5 months
cudagpu-programmingpythongpu-accelerationgpu
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.