Staff, Mapping Software Engineer
About The Position
Lucid’s GeoAI team is building fleet-powered mapping infrastructure that learns from vehicle observations and automatically generates, validates, and updates map content. The Staff Mapping Engineer will lead development of large-scale mapping systems that use data from engineering fleets, FOT programs, and customer vehicles to create and maintain production-quality map assets. The role defines architectures and algorithms that transform vehicle miles into lane-level maps, road graphs, localization maps, map change detections, and spatial intelligence products for Navigation, ADAS, and Autonomous Driving. The position requires expertise in mapping, large-scale optimization, SLAM, sensor fusion, and cloud-scale data processing. It involves developing fleet-scale mapping and map-fusion systems; automating HD map generation, validation, and maintenance; applying AI to mapping; and designing and operating production-scale cloud mapping platforms. The engineer will also establish engineering and operational practices, mentor engineers, and collaborate across teams.
Requirements
- Master’s or PhD in Computer Science, Robotics, Geospatial Engineering, Electrical Engineering, or a related field.
- At least 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, and 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.
Nice To Haves
- Experience with fleet-scale mapping systems at companies such as Tesla, Waymo, Cruise, Zoox, Rivian, Mobileye, HERE, TomTom, or 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.
- Experience with Spark, Ray, Kubernetes, AWS, Azure, or similar large-scale compute platforms.
- Publications or patents related to mapping, localization, SLAM, or autonomous driving.
Responsibilities
- Develop large-scale HD mapping systems using camera, LiDAR, GNSS/IMU, and vehicle telemetry data.
- Build scalable pipelines that fuse observations from fleet-driven miles into unified, continuously improving maps.
- Design multi-route and multi-vehicle map alignment, optimization, and crowdsourced mapping solutions.
- Create automated pipelines to extract lane geometry, road boundaries, traffic controls, crosswalks, speed limits, and localization landmarks.
- Develop confidence, validation, and quality-control frameworks for promoting verified observations into production maps.
- Build automated map change-detection and update systems for evolving road networks.
- 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.
- 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.
- Lead complex technical initiatives across organizations.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
