Staff, Mapping Software Engineer
Lucid Motors · Newark, CA
About this role
**Staff, Mapping Software Engineer — Lucid (GeoAI)** ## 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. As a **Staff Mapping Engineer**, you’ll lead development of large-scale mapping systems that leverage data from engineering fleets, FOT programs, and customer vehicles to create and maintain production-quality map assets. You’ll 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 other spatial intelligence products for **Navigation, ADAS, and Autonomous Driving**. ## 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 to 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 to promote verified observations into production maps. - Build automated map change detection and update systems for evolving road networks. - **AI-Powered Mapping** - Apply machine learning, 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. ## Required Qualifications - MS or PhD in Computer Science, Robotics, Geospatial Engineering, Electrical Engineering, or related field. - 8+ years of industry experience developing large-scale mapping, localization, SLAM, robotics, or autonomous driving systems. - Expert-level software development skills in **C++** and **Python**. - Deep knowledge of: - SLAM - Multi-view geometry - Bundle adjustment - Pose graph optimization - Sensor fusion - State estimation - Geospatial systems - Experience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets. - Experience building production cloud services and distributed processing pipelines. - Proven ability to lead complex technical initiatives across organizations. ## Preferred Qualifications - Experience with fleet-scale mapping systems (e.g., Tesla, Waymo, Cruise, Zoox, Rivian, Mobileye, HERE, TomTom, Google). - Experience building crowdsourced mapping platforms using customer vehicle data. - Experience with HD map generation, lane graph construction, localization maps, and map lifecycle management. - Experience with map compilation, map distribution, and incremental map updates.
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