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About the role
Lead the design and evolution of our localization architecture, making critical build-vs-buy decisions and defining long-term technical roadmaps. Design and implement robust, real-time algorithms for sensor fusion, visual/LiDAR odometry, and global localization using techniques like Factor Graphs, EKF/UKF, and particle filters. Develop pipelines to generate, maintain, and query High-Definition (HD) maps. Work on "priors-based" localization and semantic map matching. Solve the "stale map" problem by designing systems for change detection. You will use fleet data to identify construction zones, lane shifts, or new signage and update the map in near real-time. Maintain and continuously update large-scale LiDAR-based HD maps to support autonomous driving systems. Optimize code for embedded compute constraints (latency, memory, and power) without sacrificing safety or accuracy. Provide self diagnosis capability for localization Act as a technical mentor to senior and junior engineers, conducting rigorous code reviews and fostering a culture of engineering excellence.
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