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Sr. Machine Learning Engineer, Autonomous Driving & Parking

Lucid Motors

Sr. Machine Learning Engineer, Autonomous Driving & Parking

Lucid Motors

Southfield, MI

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Healthcare

401k

Equity

Required Skills

Python

PyTorch

TensorFlow

C++

Machine Learning

Deep Learning

Leading the future in luxury electric and mobility

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.

Leading the future in luxury electric and mobility

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.

We are seeking a Sr. Machine Learning Engineer, Autonomous Driving & Parking to join our team.

Role:

  • Design, develop, and evaluate cutting-edge machine learning architectures for autonomous driving, focusing on actor prediction, behavior modeling, and motion planning.

  • Lead software development initiatives by applying deep learning architecture expertise to deploy robust planning systems in real-world environments

  • Lead the design for reusable, high-performance, low-latency and high-reliability behavior and motion planning software architectures for Level 2/3/4 autonomous driving and parking systems

  • Conduct research into state-of-the-art ML planning and prediction techniques and bring these innovations into production systems

  • Stay current with academic and industry advancements in planning and prediction, integrating promising methodologies into Lucid’s ADAS stack

  • Write high-quality, automotive-grade software compliant with industry standards for safety and quality

  • Collaborate cross-functionally to ensure seamless implementation and deployment of autonomous driving and parking features

Required Qualifications:

  • Master’s or Ph.D. in Computer Science, Robotics, Machine Learning, or a related field

  • Expert-level proficiency in Python and ML libraries such as Py Torch or Tensor Flow

  • Solid understanding of state-of-the-art ML techniques and DL architectures (e.g. transformers), and their application to ADAS perception and planning stacks

  • Proven experience building reliable production systems with large-scale architecture, evaluation pipelines, scalable and efficient deep learning models, and performance metrics

  • Proficiency in C++ and strong hands-on experience with software engineering design principles

  • Background in at least one of the following is a must: perception, prediction or planning in ADAS, environment modeling, autonomous vehicles or robotic applications

Preferred Qualifications:

  • 3+ years of experience in ML development, particularly in large-scale data and real-time systems

  • Experience working with foundational models, large language models (LLMs), or end-to-end AV planning systems

  • Experience porting ML models to embedded platforms, with strong C++ fundamentals

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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About Lucid Motors

Lucid Motors

Manufactures electric vehicles and supplies advanced electric vehicle powertrain systems.

1,001-5,000

Employees

Newark

Headquarters

$12B

Valuation

Reviews

4.1

19 reviews

Work Life Balance

3.5

Compensation

4.5

Culture

4.1

Career

4.6

Management

3.9

77%

Recommend to a Friend

Pros

Opportunities for continuous learning and growth

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Cons

Fast-paced environment with tight deadlines

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Salary Ranges

1,005 data points

Junior/L3

Junior/L3 · Technical Specialist

47 reports

$141,867

total / year

Base

$120,241

Stock

$21,626

Bonus

-

$88,692

$229,439

Interview Experience

6 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience