Staff, Mapping Software Engineer

About 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

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 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 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.

At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.

Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.

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