{"id":3775314,"url":"https://alion.io/job/lucid-motors-staff-mapping-software-engineer","title":"Staff, Mapping Software 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":81,"open_postings":66,"ghost_share":0,"stale_share":0.758,"repost_share":0,"time_to_fill_p50_days":36,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Newark, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Kubernetes","optional":true},{"name":"Ray","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T22:05:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T23:48:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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.\nAbout the Role\nThe GeoAI team is building the next generation of fleet-powered mapping infrastructure that \ncontinuously learns from vehicle observations and automatically generates, validates, and updates \nmap content at scale.\nWe are seeking a Staff Mapping Engineer to lead the development of large-scale mapping systems \nthat leverage data collected from engineering fleets, FOT programs, and customer vehicles to create \nand maintain production-quality map assets. You will define the architecture and algorithms that \ntransform millions of vehicle miles into continuously improving lane-level maps, road graphs, \nlocalization maps, map change detections, and spatial intelligence products for Navigation, ADAS, \nand Autonomous Driving.\nThis role requires deep expertise in mapping, large-scale optimization, SLAM, sensor fusion, and \ncloud-scale data processing\nWhat You'll Do\nFleet-Scale Mapping & Map Fusion\nDevelop large-scale HD mapping systems using camera, LiDAR, GNSS/IMU, and vehicle telemetry data.\nBuild scalable pipelines that fuse observations from millions of fleet-driven miles into unified, continuously improving maps.\nDesign multi-route and multi-vehicle map alignment, optimization, and crowdsourced mapping solutions.\nHD Map Generation & Maintenance\nCreate automated pipelines to extract lane geometry, road boundaries, traffic controls, crosswalks, speed limits, and localization landmarks.\nDevelop confidence, validation, and quality-control frameworks that promote verified observations into production maps.\nBuild automated map change detection and update systems for evolving road networks.\nAI-Powered Mapping\nApply machine learning, Spatial AI, and foundation models to automate map creation, semantic understanding, anomaly detection, and map quality evaluation.\nDrive innovation in self-supervised learning and fleet-scale mapping technologies.\nProduction-Scale Mapping Systems\nDesign and operate cloud-based mapping platforms capable of processing petabyte-scale fleet data.\nOptimize distributed infrastructure for performance, scalability, reliability, and cost efficiency.\nEstablish engineering standards, validation frameworks, and operational monitoring for production mapping systems.\nMentor engineers and collaborate across teams to deliver end-to-end mapping solutions.\nRequired Qualifications\nMS or PhD in Computer Science, Robotics, Geospatial Engineering, Electrical Engineering, or related field.\n8+ years of industry experience developing large-scale mapping, localization, SLAM, robotics, or autonomous driving systems.\nExpert-level software development skills in C++ and Python.\nDeep knowledge of: SLAM\nMulti-view geometry\nBundle adjustment\nPose graph optimization\nSensor fusion\nState estimation\nGeospatial systems\n\nExperience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets.\nExperience building production cloud services and distributed processing pipelines.\nProven ability to lead complex technical initiatives across organizations\nPreferred Qualifications\nExperience with fleet-scale mapping systems at companies such as Tesla, Waymo, Cruise, \nZoox, Rivian, Mobileye, HERE, TomTom, or Google.\nExperience building crowdsourced mapping platforms using customer vehicle data.\nExperience with HD map generation, lane graph construction, localization maps, and map \nlifecycle management.\nExperience with map compilation, map distribution, and incremental map updates.\nExperience with Spark, Ray, Kubernetes, AWS, Azure, or similar large-scale compute \nplatforms.\nPublications or patents related to mapping, localization, SLAM, or autonomous driving.\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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