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At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.

We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.

Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

Here at Lucid Motors, we are at the forefront of developing advanced driver assistance systems (ADAS) and autonomous driving (AD) solutions. As an ADAS Calibration Engineer, you will be an integral part of our team, driving the product development and deployment process to deliver top-notch ADAS / AD systems and components to our valued customers. We are seeking individuals with a can-do attitude, a passion for perfection, and a hunger for continuous learning.

Your Role could include some or all of the areas below:

Develop, implement, and refine calibration algorithms and methodologies for intrinsic and extrinsic parameters across multiple sensor types, including cameras, LiDARs, radars, IMUs, GNSS, and other perception sensors.
Design, automate, and maintain offline (static in factory/lab) and online (dynamic in-field odometry) calibration workflows and pipelines, with a focus on robustness, repeatability, and scalability.
Develop and configure physical calibration rigs and procedures for static and dynamic calibration, including vehicle-motion–based routines.
Detect sensor mis-calibrations and build autonomous re-calibration capabilities using state estimation, odometry, and perception-driven methods.
Define and implement test, validation, and quality processes to maintain calibration accuracy and consistency at scale across vehicle platforms.
Collaborate closely with cross functional teams / projects such as Perception, Localization, SLAM, Mapping, Sensor Fusion, Hardware, Manufacturing, and Operations to integrate calibration into the broader autonomy stack.
Contribute to and maintain the calibration codebase, integrating with localization pipelines, SLAM modules, and sensor fusion frameworks.
Participate in mentoring junior engineers and driving technical excellence across calibration, perception, and localization domains.
Work hands-on in lab and field test environments, including direct interaction with hardware, test vehicles, and diagnostic tools.

Qualifications

Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Electrical Engineering, or a related field; PhD is a plus.
5+ years of industry experience in sensor calibration, robotics, autonomous systems, perception, or localization (3+ with a Master’s).
Strong expertise in multi-sensor calibration, geometric computer vision, extrinsic/intrinsic calibration, and state estimation.
Hands-on experience calibrating cameras, LiDARs, radars, IMUs, GNSS, wheel-speed sensors, and other vehicle perception sensors.
Strong communication and mentoring skills, with a passion for collaborative development and continuous learning.
Willingness to travel to support build activities, field testing, and issue resolution.

Preferred

Proficiency in C++ and Python.
Familiarity with nonlinear optimization, state estimation, odometry, motion estimation, and sensor fusion principles.
Ability to design and develop software pipelines and tools for calibration, sensor health monitoring, and diagnostic workflows.
Experience with both offline factory calibration and online self-calibration techniques, including perception-driven and motion-based methods.
Knowledge of calibration algorithms resilient to temperature, vibration, and environmental variations.
Experience with HIL, EOL, simulation environments, or tooling used for calibration validation and sensor modeling.
Direct experience with SLAM, SfM (Structure-from-Motion), localization, mapping, multi-view geometry, or autonomous driving development.
Understanding of sensor noise models, time synchronization, coordinate frames, and world representation transforms.
Experience building and shipping reusable software tools, frameworks, or libraries used by cross-functional engineering teams.
Strong communication and mentoring skills, with a passion for collaborative development and continuous learning.

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.

Base Pay Range (Annual)

$154,000—$211,750 USD

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

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

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