Summary
Daniel Livingston is a software engineer specializing in imaging with nine years of experience building high-performance GPU, low-level systems, and real-time software. He has driven impactful tooling and driver components at AMD—helping create Radeon GPU Detective and a cross-API profiling/tracing system adopted by AAA studios and awarded internally—and now applies that expertise to imaging at Anduril. His R&D work spans 3D polygonal meshing (FEM/CAD), geospatial/GIS analysis, and visualization, including leading open-source mesh and Voronoi tools used across U.S. DOE labs. Daniel combines systems-level languages (C/C++, Fortran, Rust) with higher-level prototyping (Python, Julia) to squeeze orders-of-magnitude performance gains from algorithms and parallel code. He pairs rigorous testing and CI/CD practices with practical deployment experience—having modernized legacy builds and ship internal package management—to make research-grade code robust and portable. Based in Westford, MA, he brings a rare mix of production GPU engineering and scientific computing that accelerates both tooling and simulation workflows.
9 years of coding experience
1 year of employment as a software developer
Master’s Degree Nanoscience, Master’s Degree Nanoscience at Arizona State University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor's Degree Physics, Bachelor's Degree Physics at New Mexico State University
English