Jeff Smith is a Senior Research Engineer with over a decade building systems that generate, analyze, and manipulate 3D data for film, games, AR, and robotics. At NVIDIA he researches computer vision, robotic perception, and deep learning models that reconstruct the three-dimensional world from noisy, incomplete imagery, translating cutting-edge research into deployable systems on NVIDIA hardware. His background includes developing simulation, modeling, and artist-facing animation tools at ILM, Valve, and Softimage, and prototyping vision and deep learning experiences for HoloLens at Microsoft. Jeff holds advanced degrees in robotics and electrical engineering from Carnegie Mellon, Rice, and Yale, and blends rigorous academic training with production-grade engineering across graphics, physics-based simulation, and perception. A less obvious strength is his long history of applying nonlinear optimization and learned models to bridge physical simulation and data-driven perception, enabling realistic reconstruction and navigation in ambiguous environments.
9 years of coding experience
13 years of employment as a software developer
M.Sc., Electrical Engineering, M.Sc., Electrical Engineering at Rice University
B.Sc., Electrical Engineering, B.Sc., Electrical Engineering at Yale University
M.Sc., Robotics, M.Sc., Robotics at Carnegie Mellon University
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