Staff Autonomy Engineer - Localization

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Essential Responsibilities Architect and lead the development of a production-grade, multimodal localization stack, integrating Cameras, LiDAR, Radar, GNSS, and IMU data to ensure centimeter-level accuracy and high availability. Design and implement advanced state estimation frameworks, such as Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), optimized for real-time performance and robustness against sensor degradation and across diverse Operational Design Domains (ODDs). Own the localization integrity and safety strategy. Develop sophisticated uncertainty estimation and fault detection, isolation, and recovery (FDIR) mechanisms to meet stringent safety requirements. Drive technical roadmaps for next-generation localization techniques, including map and sparse landmark-based localization (Vision/LiDAR/Radar), visual-inertial odometry (VIO), and wheel-inertial odometry. Lead cross-functional system integration, developing software and system requirements while defining technical interfaces and performance contracts (e.g., state estimation and uncertainty bounds) between Localization and upstream and downstream modules like Perception, Behavior, Policy, and Prediction. Establish rigorous evaluation frameworks and metrics for localization performance, including pose accuracy, temporal consistency, and system-level reliability across diverse ODDs. Spearhead major feature development including high-level architecture design, code reviews, issue diagnosis, and technical resolution. Provide high-level technical mentorship to senior and junior engineers, conducting deep-dive design and code reviews and fostering a culture of engineering excellence and rigorous validation. Stay at the research frontier, evaluating and adapting cutting-edge techniques in SLAM, deep-learned localization features, and large-scale map-matching to deliver production-ready solutions. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field with a deep mathematical foundation in state estimation. 10+ years of industry experience developing and deploying high-performance localization or state estimation systems for autonomous robots or vehicles, with at least 5 years in a lead/staff/principal technical role. Expertise in modern state estimation techniques: Deep understanding of probabilistic robotics, Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), and Kalman filtering. Advanced Sensor Fusion: Proven track record of fusing disparate data sources including Cameras (Visual Odometry), LiDAR (ICP/NDT), Radar, IMU, and GNSS. Strong C++ Programming: Mastery of modern C++ (14/17/20) in a Linux environment, with a focus on real-time constraints, multi-threading, and performance optimization. System Architecture: Experience designing m ... (truncated, view full listing at source)