Summary
James Noeckel is a graphics software engineer with a PhD from the GRAIL lab at the University of Washington and roughly a decade of experience bridging research and product development in 3D vision, geometry processing, and real-time graphics. He has shipped geometry and reconstruction systems at industry leaders including Apple, Meta, and NVIDIA, and his research has enabled single-view CAD reconstruction and parts-based recovery of carpentry assemblies from images. James combines deep learning for 3D shape modeling with domain-specific representations to reconstruct precise geometry from incomplete observations and to support collaborative CAD workflows. His work spans practical systems—like a Meta pipeline for 3D-printable personalized eyewear—and foundational research on view-centric boundary representations and motion DOF analysis. A Cornell-trained physicist and graphics enthusiast, he also maintains real-time shader experiments publicly, reflecting a long-standing interest in realtime rendering and physics simulation. Based in Sunnyvale, he brings an unusual mix of academic rigor and production-facing engineering that targets both novel algorithms and manufacturable, user-centered products.
10 years of coding experience
1 year of employment as a software developer
Cornell University