Perception Machine Learning Engineer – ADAS

Latitude; Southfield (MI); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life and disability coverage

401(k) retirement plan

Equity program participation

Discretionary annual cash incentive

Job summary

Lucid Motors is seeking a per­ception software engineer to develop and optimize autonomous driving algorithms using camera and LiDAR data. You will design deep learning models for 2D/3D object detection, tracking, and segmentation and collaborate with cross-functional teams to integrate these models into production.

The role requires strong DL theory, Python proficiency, and experience with ML frameworks such as PyTorch or TensorFlow.

Qualifications

• Strong theoretical foundations in deep learning for perception (object detection, tracking, segmentation).
• Proficient in Python with clean, scalable code.
• Experience with large codebases and debugging ML models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design evaluation pipelines to unit-test ML models under diverse conditions.
• Excellent communication and teamwork.

Responsibilities

• Develop and optimize perception algorithms for autonomous driving using camera/LiDAR data.
• Design/deploy deep learning models for 2D/3D object detection, segmentation, tracking.
• Research BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams for integration into production.
• Test, release, and deploy perception algorithms in Lucid programs.
• Support validation/verification of perception systems in prototype/pre-production vehicles.
• Propose innovative software algorithms to enhance autonomous driving capabilities.

Skills

Deep learning

Python

ML frameworks

C++

Debugging ML models

Education

Bachelor's degree in Computer/ Electrical/ Automotive Engineering

3+ years experience or PhD for senior role

Tools

PyTorch

TensorFlow

MXNet

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.

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.

Role and Responsibilities

• Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust implementation.
• Test, release, and deploy 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.

Required Qualifications

• Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation.
• 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 or other ML frameworks (e.g., TensorFlow, MXNet).
• 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 for a senior position.
• Advanced degrees are preferred.
• Experience in Automotive/Autonomous Driving background

Preferred Qualifications

• Experience developing BEV transformer models for perception.
• 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 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

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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