Sr/Staff Perception Machine Learning Engineer

Lucid Motors-LA; Michigan; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Equity program

Discretionary annual cash incentive

Job summary

Lucid Motors is seeking an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. You will design, implement, and deploy state-of-the-art perception models for Level 2/2+/3 systems, integrating camera, LiDAR and radar data.

You will advance 2D/3D object detection, BEV transformer models, sensor fusion, and production deployment for Lucid vehicles, collaborating across disciplines to deliver robust, scalable perception solutions.

Qualifications

• Strong foundations in deep learning for object detection, tracking, and segmentation.
• Experience with 3D point cloud data from LiDAR/Radar.
• Proficient in Python with clean, scalable code.
• Experience with PyTorch, ONNX, and TensorRT deployment.
• Ability to design evaluation pipelines for ML models.
• Excellent communication and teamwork.
• Bachelor’s degree in relevant engineering field; 3+ years of experience or PhD; advanced degree preferred.

Responsibilities

• Develop and optimize perception algorithms for Level 2/2+/3 autonomous driving systems using camera, LiDAR and radar data.
• Design and implement deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
• Train, and evaluate ML models for detecting vehicles, pedestrians, and other road users.
• Sensor fusion with data from camera, lidar, radar and/or inertial sensors.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Deploy, test and release perception algorithms into Lucid production programs.
• Support validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Skills

Deep learning algorithms

3D point cloud processing

Python programming

Debugging ML models

Model evaluation pipelines

Communication & teamwork

Bachelor's degree in engineering

3+ years of experience or PhD

Advanced degree preferred

Education

Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or related field

Ph.D. in related field (preferred)

Tools

PyTorch

ONNX

TensorRT

Python

C++

Job description

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.

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.

We are looking for an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. This position requires a highly skilled professional with a strong background in machine learning, computer vision, and perception algorithms, as well as solid programming expertise.

As a member of Lucid’s Perception team, you will research, design, implement, optimize, and deploy state-of-the‑art machine learning models that advance perception algorithms for autonomous driving. You will conduct literature reviews, develop and modify models to enhance performance, and contribute to the deployment of these models in production vehicles.

Role and Responsibilities

• Develop and optimize perception algorithms for Level 2/2+/3 autonomous driving systems using camera, LiDAR and radar data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
• Design, train, and evaluate machine learning or deep learning models for detecting vehicles, pedestrians, and other road users.
• Sensor fusion with data from camera, lidar, radar and/or inertial sensors.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Deploy, test and release perception algorithms into Lucid production programs.
• Support the validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Required Qualifications

• Strong theoretical foundations and expertise in deep learning algorithms, including dynamic and static object detection, tracking, and segmentation.
• Strong experience with 3D point cloud processing, with Lidar/Radar data.
• Proficient in Python with a focus on clean, efficient, and scalable software development.
• Comfortable working with large codebases and debugging complex machine learning models.
• Experience with PyTorch and deployment toolchains, ONNX, TensorRT.
• Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments.
• Excellent communication skills and a strong team player.
• Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
• Minimum of 3 years of relevant work experience, or a Ph.D. in a related field.
• Advanced degrees are preferred.

Preferred Qualifications

• Experience developing BEV transformer models for perception.
• Background in multi-sensor fusion.
• Proficiency in C++ with experience writing efficient, maintainable code.
• Practical, hands‑on approach to solving complex problems in autonomous driving.
• Experience in testing and validating perception systems in real‑world conditions.
• Experience working in agile development teams.
• Expertise in component and system integration, testing, and verification at the system and vehicle levels.

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

• medical, dental, and vision insurance
• life and disability coverage
• paid time off
• paid holidays
• a 401(k) retirement plan
• Eligible employees may also participate in Lucid’s equity program
• 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.

Candidate Data Privacy

By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.