Staff, Mapping Software Engineer

Lucid Motors • Newark, CA

2d

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 architecture and algorithms to turn large volumes of vehicle data into continuously improving lane-level maps, road graphs, localization maps, map-change detections, and spatial intelligence products for Navigation, ADAS, and Autonomous Driving. It requires deep expertise in mapping, large-scale optimization, SLAM, sensor fusion, and cloud-scale data processing.

Requirements

• MS 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.

Benefits

• Medical, dental, and vision insurance.
• Life and disability coverage.
• Paid time off.
• Paid holidays.
• Paid sick leave.
• A 401(k) retirement plan.
• Eligible employees may participate in Lucid’s equity program and/or a discretionary annual cash incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior