Xudong Sun is a Staff Machine Learning Engineer with 11 years of experience specializing in multi-object tracking, sensor fusion, and perception for autonomous driving. He has progressed from research roles to technical leadership at TuSimple and Motional, delivering production-grade tracking systems including a deployed MHT implementation and a lightweight, highly accurate data-association model. His background spans deep learning for LiDAR and vision, control theory and robotics, and unconventional interests in causality, topological data analysis, and biology that inform robust, interdisciplinary approaches to state estimation. Based in Munich, he combines hands-on model development with team-level goal setting and metric-driven evaluation, often focusing on robustness to occlusion and noisy inputs. Notably, he has a track record of shipping efficient models to production—from face detection benchmarks to real-time lane and tracking systems—bridging research innovations with deployable engineering.
11 years of coding experience
7 years of employment as a software developer
University of California, San Diego
Bachelor's degree, Bachelor's degree at Peking University
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Xudong Sun - Senior Machine Learning Engineer at Motional