Perception Machine Learning Engineer – ADAS
Southfield, MI
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and optimize perception algorithms using camera and LiDAR data
Design deep learning models for 2D/3D object detection, segmentation, tracking
Research and integrate BEV-based transformer models for perception
Test, release, and deploy perception algorithms into production programs
Support validation of perception algorithms on prototype and pre-production vehicles
From the employer’s posting
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.
Test, release, and deploy perception algorithms into Lucid production programs.
Support validation and verification of perception algorithms using prototype and pre-production vehicles.
What you’ll bring
All qualificationsCore experience
- Proficient in Python with a focus on clean, efficient, and scalable software development.
- 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.
- Experience in Automotive/Autonomous Driving background
Preferred experience
- Experience developing BEV transformer models for perception.
- Proficiency in C++ with experience writing efficient, maintainable code.
- Experience in testing and validating perception systems in real-world conditions.
- Experience working in agile development teams.
Qualification wording
Proficient in Python with a focus on clean, efficient, and scalable software development.
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.
Experience in Automotive/Autonomous Driving background
Experience developing BEV transformer models for perception.
Proficiency in C++ with experience writing efficient, maintainable code.
Experience in testing and validating perception systems in real-world conditions.
Experience working in agile development teams.
Education & alternatives
- 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.
- 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.
Tools in this posting
- C++
- Python
- TensorFlow
- PyTorch
Source — Tool mentions in context
- 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.
- 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.
- 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.
About Lucid Motors
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Aug 7, 2026 · 72d ago
- Recorded sightings
- 84
- Last seen by us
- Oct 17, 2026
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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.
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.
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.
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.
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Southfield, MI
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