Sr. SLAM Engineer

United States·Southfieldsenior

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Quick Summary

Requirements Summary

MS or PhD in Robotics, Computer Science, Electrical Engineering, Computer Vision, or a related field. 5+ years of experience in SLAM, localization, mapping, robotics, or autonomous systems.

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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.

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.

Requirements

~4 min read

MS or PhD in Robotics, Computer Science, Electrical Engineering, Computer Vision, or a related field.
5+ years of experience in SLAM, localization, mapping, robotics, or autonomous systems.
Strong software engineering skills in C++ and Python.
Deep 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.
Hands-on experience with relevant libraries and frameworks such as GTSAM, Ceres Solver, OpenCV, Eigen, and ROS/ROS2.
Experience profiling, debugging, validating, and deploying complex robotics algorithms in production-oriented environments.

Qualifications:

Experience building fleet-scale mapping and localization systems for autonomous driving, robotics, mobile mapping, or geospatial applications.
Experience with multi-session SLAM, multi-route SLAM, collaborative mapping, global pose graph optimization, and large-scale bundle adjustment.
Experience with HD maps, localization maps, map change detection, map updates, map versioning, and long-term landmark management.
Experience processing large-scale camera, LiDAR, GNSS, IMU, and vehicle telemetry datasets using distributed infrastructure.
Experience with production localization integrity, map quality evaluation, calibration monitoring, and system-level performance analysis.
Publications, patents, or significant technical contributions in SLAM, localization, robotics, computer vision, or mapping systems are a plus.

What You'll Help Build

Capability	Impact
Fleet-Scale Multi-Route SLAM	Joint trajectory and map optimization across repeated drives and vehicles.
Production Localization Stack	Camera-LiDAR-GNSS-IMU localization for challenging road environments.
Collaborative Map Fusion	Unified maps built from multi-session, multi-vehicle observations.
Map Generation Pipelines	Localization maps, HD maps, lane geometry, road graphs, and landmarks.
Continuous Map Maintenance	Change detection, incremental updates, versioning, freshness, and validation.
Mapping Quality Platform	Accuracy, coverage, integrity, reliability, and regression monitoring.

Ideal Candidate

A 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.

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.

Accessibility: 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.

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To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.