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# Staff, Mapping Software Engineer

- **Company:** Lucid Inc.
- **Location:** Newark, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Cloud Services, State Estimation, Sensor Fusion, Software Engineering, Apache Spark, Kubernetes, Information Technology, Lidar, GNSS
- **Published:** November 6, 2026
- **Apply:** https://startup.jobs/staff-mapping-software-engineer-lucid-motors-company-10693768

## About the Role

* 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, * 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.

## Description

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.