Software Engineer - ADAS Perception at Lucid Motors
Southfield, Michigan, USA -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

0.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Robotics, Ros, Integration, Computer Vision, C++, It, Regulations, Cuda, Deep Learning, Git, Python, Ubuntu, Qnx, Color, Software Testing, Debugging, Computer Engineering, Operating Systems

Industry

Information Technology/IT

Description

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.

PREFERRED QUALIFICATIONS

  • Internship or project experience involving machine learning or deep learning.
  • Familiarity with CUDA, GPU inference, or embedded model deployment.
  • Experience with Bash scripting or similar tools.
  • Understanding of ROS, CAN protocols, or automotive data communication.
  • Familiarity with Git or other version control systems.
    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.
    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.

processes.Qualifications

  • Proficiency in C++ and Python.
  • Exposure to real-time operating systems such as Ubuntu or QNX.
  • Basic understanding of software testing, debugging, and integration.
  • Strong interest in ADAS perception, robotics, or computer vision.
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, o
Responsibilities

ROLE OVERVIEW

We are seeking a Software Engineer to join our ADAS Perception Machine Learning
Engineering team. You’ll work on developing and integrating ML-based perception
software for real-time vehicle systems. This is a great opportunity for a junior engineer
eager to grow in a fast-paced, cutting-edge automotive environment.

RESPONSIBILITIES

  • Assist in developing and integrating ML-based perception software for ADAS

systems.

  • Write clean and reliable C++ and Python code in compliance with safety standards

like MISRA/AUTOSAR.

  • Contribute to writing and maintaining unit tests and basic integration tests.
  • Work with senior engineers to integrate machine learning models into real-time

onboard systems.

  • Participate in debugging and fixing static analysis violations.
  • Gain experience working in a large and complex codebase and support release

processes.Qualifications

  • Proficiency in C++ and Python.
  • Exposure to real-time operating systems such as Ubuntu or QNX.
  • Basic understanding of software testing, debugging, and integration.
  • Strong interest in ADAS perception, robotics, or computer vision.
  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Robotics, or

a related field.

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