The posting, in Lucid's own words
archived Nov 5, 2026About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
About the Role
The GeoAI team is building the next generation of fleet-powered mapping infrastructure that continuously learns from vehicle observations and automatically generates, validates, and updates map content at scale. We are seeking a Staff Mapping Engineer to lead the development of large-scale mapping systems that leverage data collected from engineering fleets, FOT programs, and customer vehicles to create and maintain production-quality map assets. You will define the architecture and algorithms that transform millions of vehicle miles into continuously improving lane-level maps, road graphs, localization maps, map change detections, and spatial intelligence products for Navigation, ADAS, and Autonomous Driving. This role requires deep expertise in mapping, large-scale optimization, SLAM, sensor fusion, and cloud-scale data processing
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What You'll Do
Fleet-Scale Mapping & Map Fusion Develop large-scale HD mapping systems using camera, LiDAR, GNSS/IMU, and vehicle telemetry data. Build scalable pipelines that fuse observations from millions of fleet-driven miles into unified, continuously improving maps. Design multi-route and multi-vehicle map alignment, optimization, and crowdsourced mapping solutions. HD Map Generation & Maintenance Create automated pipelines to extract lane geometry, road boundaries, traffic controls, crosswalks, speed limits, and localization landmarks. Develop confidence, validation, and quality-control frameworks that promote verified observations into production maps. Build automated map change detection and update systems for evolving road networks. AI-Powered Mapping Apply , Spatial AI, and foundation models to automate map creation, semantic understanding, anomaly detection, and map quality evaluation. Drive innovation in self-supervised learning and fleet-scale mapping technologies. Production-Scale Mapping Systems Design and operate cloud-based mapping platforms capable of processing petabyte-scale fleet data. Optimize distributed infrastructure for performance, scalability, reliability, and cost efficiency. Establish engineering standards, validation frameworks, and operational monitoring for production mapping systems. Mentor engineers and collaborate across teams to deliver end-to-end mapping solutions.