{"id":3284345,"url":"https://alion.io/job/lucid-motors-sr-slam-engineer","title":"Sr. SLAM Engineer","company":{"id":678141,"name":"Lucid Motors","domain":"lucidmotors.com","url":"https://alion.io/company/lucidmotors","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":67,"ghost_share":0,"stale_share":0.836,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Robotics","role_family":"Robotics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Southfield, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":120000,"max_usd":242000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":220},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Ceres Solver","optional":false},{"name":"Computer Vision","optional":false},{"name":"GTSAM","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"ROS2","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Visual-Inertial Odometry","optional":false}],"status":"closed","first_seen_at":"2026-10-26T13:20:40Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T03:05:41Z","board_verified":false,"closed_at":"2026-10-27T03:05:41Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About Lucid\nAt 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. \nWe 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.\nThe 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. \nYou 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. \nRole:\nSLAM and Localization:\nDesign and develop visual SLAM, LiDAR SLAM, visual-inertial odometry (VIO), multi-sensor localization, multi-session SLAM, and multi-route SLAM systems. \nDevelop robust localization solutions using cameras, LiDAR, GNSS/RTK, IMU, vehicle odometry, and HD maps. \nBuild loop-closure, relocalization, place-recognition, and drift-correction capabilities for long-term localization performance. \nImprove localizationaccuracy and availability in urban canyons, tunnels, parking structures, construction zones, and GNSS-denied environments. \nFleet-Scale Multi-Route SLAM \nDevelop algorithms that jointly optimize trajectories and observations collected across repeated routes, multiple vehicles, and large geographic areas. \nBuild scalable pose graph and bundle adjustment systems for globally consistent maps. \nDesign place-recognition and loop-closure systems that match observations across different vehicles, lighting, seasons, weather, and roadway changes. \nDevelop multi-session map fusion and collaborative mapping solutions that combine repeated drives into a unified spatial representation. \nImprove localization repeatability through long-term landmark management, route alignment, and historical fleet observations. \nMap Generation & Continuous Maintenance \nBuild scalable pipelines for localization map generation, HD map generation, lane-level mapping, road graph creation, and map quality validation. \nDevelop map change detection, incremental update, versioning, and rollback capabilities for continuously evolving road environments. \nCreate automated processes for landmark lifecycle management, fleet data aggregation, map freshness monitoring, and conflicting-observationresolution. \nBuild systems that safely incorporate qualified fleet observations into production map layers while preserving traceability and map consistency. \nDefine validation gates and quality metrics for map accuracy, coverage, freshness, reliability, and localization performance. \nSensor Fusion & Calibration \nDevelop camera-LiDAR-GNSS-IMU fusion frameworks for localization, trajectory estimation, and map building. \nImprove temporal synchronization, coordinate-frame management, calibration robustness, and calibration monitoring at fleet scale. \nDevelop localization confidence, integrity, and uncertainty metrics suitable for productionADAS applications. \nSupport sensor integration and localization performance across multiple vehicle platforms and hardware configurations. \nProduction Deployment \nOptimize SLAM, localization, and map optimization algorithms for large-scale cloud processing and vehicle deployment. \nBuild reliable distributed pipelines for processing large camera, LiDAR, GNSS, IMU, and vehicle-motion datasets. \nDevelop benchmarking, regression testing, visualization, debugging, and map QA tools. \nCollaborate with Navigation, Perception, Vehicle Integration, Data Platform, and GeoAIteams to deliver production-ready mapping and localization systems. \nQualifications:\nMS or PhD in Robotics, Computer Science, Electrical Engineering, Computer Vision, or a relatedfield. \n5+ years of experience in SLAM, localization, mapping, robotics, or autonomous systems. \nStrong software engineering skills in C++ and Python. \nDeep understanding of visual SLAM, LiDAR SLAM, VIO, state estimation, sensor fusion, factor graphs, bundle adjustment, pose graph optimization, loop closure, place recognition, and multi-view geometry. \nHands-on experience with relevant libraries and frameworks such as GTSAM, Ceres Solver, OpenCV, Eigen, and ROS/ROS2. \nExperience profiling, debugging, validating, and deploying complex robotics algorithms in production-oriented environments. \nQualifications: \nExperience building fleet-scale mapping and localization systems for autonomous driving, robotics, mobile mapping, or geospatial applications. \nExperience with multi-session SLAM, multi-route SLAM, collaborative mapping, global pose graph optimization, and large-scale bundle adjustment. \nExperience with HD maps, localization maps, map change detection, map updates, map versioning, and long-term landmark management. \nExperience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets using distributed infrastructure. \nExperience with production localization integrity, map quality evaluation, calibration monitoring, and system-level performance analysis. \nPublications, patents, or significant technical contributions in SLAM, localization, robotics, computer vision, or mapping systems are a plus. \nWhat You'll Help Build \n\nCapability \n\nImpact \n\nFleet-Scale Multi-Route SLAM \n\nJoint trajectory and map optimization across repeated drives and vehicles. \n\nProduction Localization Stack \n\nCamera-LiDAR-GNSS-IMU localization for challenging road environments. \n\nCollaborative Map Fusion \n\nUnified maps built from multi-session, multi-vehicle observations. \n\nMap Generation Pipelines \n\nLocalization maps, HD maps, lane geometry, road graphs, and landmarks. \n\nContinuous Map Maintenance \n\nChange detection, incremental updates, versioning, freshness, and validation. \n\nMapping Quality Platform \n\nAccuracy, coverage, integrity, reliability, and regression monitoring. \n\nIdeal Candidate \nA hands-on SLAM engineer with deep expertise in localization, mapping, estimation, optimization, and sensor fusion. You are excited about solving large-scale geospatial challenges and building fleet-scale multi-route SLAM systems that continuously improve map quality and localization performance across an entire vehicle fleet. \nAt 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.\nCompensation& 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. \nEqual 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. \nAccessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com.This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.\nCandidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. \nTo all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. 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