Lead the design and implementation of high-fidelity fusion algorithms that combine LiDAR, Radar, Camera, IMU, and GNSS data with HD Maps to achieve centimeter-level accuracy for autonomous trucks.
Highly competitive salary and benefits package, including 401(k) plan.
- 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.
- M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field
- Nice to have: Experience shipping localization stacks for deployed autonomous vehicles or mobile robots
- Nice to have: LOAM
- Nice to have: lego-LOAM
- Nice to have: ORB-SLAM
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