# Sr. SLAM Engineer at Lucid Motors

Lucid Motors is hiring a Sr. SLAM Engineer. Level rates it Builds AI ●●●●; you can [apply on Lucid Motors](https://jobsbylevel.com/go/8376f411-ea3e-45ce-b530-459602b700b5?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Southfield, MI.

## Details

- Company: [Lucid Motors](https://jobsbylevel.com/companies/lucid-motors)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Southfield, MI
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/8376f411-ea3e-45ce-b530-459602b700b5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=sr-slam-engineer-at-lucid-motors-1394f7

## Prepare for this job

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## Description

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. The GeoAI team is seeking a Senior SLAM Engineer to build fleet-scale mapping and localization technologies that power next-generation navigation, ADAS, and autonomous driving systems. This role focuses on robust SLAM, multi-route mapping, localization, sensor fusion, and map maintenance using fleet-collected camera, LiDAR, GNSS, IMU, and vehicle telemetry data. You will play a key role in transforming large-scale fleet data into continuously improving localization maps, road graphs, and high-definition map assets used across GeoAI, Navigation, and ADAS products. Role: SLAM and Localization: Design and develop visual SLAM, LiDAR SLAM, visual-inertial odometry (VIO), multi-sensor localization, multi-session SLAM, and multi-route SLAM systems. Develop robust localization solutions using cameras, LiDAR, GNSS/RTK, IMU, vehicle odometry, and HD maps. Build loop-closure, relocalization , place-recognition, and drift-correction capabilities for long-term localization performance. Improve localization accuracy and availability in urban canyons, tunnels, parking structures, construction zones, and GNSS-denied environments. Fleet-Scale Multi-Route SLAM Develop algorithms that jointly optimize trajectories and observations collected across repeated routes, multiple vehicles, and large geographic areas. Build scalable pose graph and bundle adjustment systems for globally consistent maps. Design place-recognition and loop-closure systems that match observations across different vehicles, lighting, seasons, weather, and roadway changes. Develop multi-session map fusion and collaborative mapping solutions that combine repeated drives into a unified spatial representation. Improve localization repeatability through long-term landmark management, route alignment, and historical fleet observations. Map Generation & Continuous Maintenance Build scalable pipelines for localization map generation, HD map generation, lane-level mapping, road graph creation, and map quality validation. Develop map change detection, incremental update, versioning, and rollback capabilities for continuously evolving road environments. Create automated processes for landmark lifecycle management, fleet data aggregation, map freshness monitoring, and conflicting-observation resolution. Build systems that safely incorporate qualified fleet observations into production map layers while preserving traceability and map consistency. Define validation gates and quality metrics for map accuracy, coverage, freshness, reliability, and localization performance. Sensor Fusion & Calibration Develop camera-LiDAR-GNSS-IMU fusion frameworks for localization, trajectory estimation, and map building. Improve temporal synchronization, coordinate-frame management, calibration robustness, and calibration monitoring at fleet scale. Develop localization confidence, integrity, and uncertainty metrics suitable for production ADAS applications. Support sensor integration and localization performance across multiple vehicle platforms and

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