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Staff, Mapping Software Engineer

Lucid Motors

Job Location:

Newark, DE - USA

Monthly Salary: Not provided by the employer

Posted: 6 November 2026 (1 hour ago)

Application Deadline: 3 February 2027

Vacancies: 1 Vacancy

Job Summary

About Lucid

At Lucid we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucids 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 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 productionhappening in-houseacross our global offices the world united by a shared commitment to refusing to settle youcanhelpredefinewhatspossible andshape the future of mobility.

About the Role

The GeoAI team is building the next generation of fleet-powered mapping infrastructure that
continuously learns from vehicle observations and automatically generates validates and updates
map content at scale.

We are seeking a Staff Mapping Engineer to lead the development of large-scale mapping systems
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 Youll 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.

Required Qualifications

MS or PhD in Computer Science Robotics Geospatial Engineering Electrical Engineering orrelated field.
8 years of industry experience developing large-scale mapping localization SLAM roboticsor 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

Preferred Qualifications

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.
Experience with Spark Ray Kubernetes AWS Azure or similar large-scale compute
platforms.
Publications or patents related to mapping localization SLAM or autonomous driving.

At Lucid we dont 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.

Required Experience:

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