At Lucid Motors, we aim to redefine the automotive experience by creating the most
captivating, luxury electric vehicles that elevate human experience and push the
boundaries of space, performance, and intelligence. Our vehicles are designed to be
intuitive, liberating, and engineered for the future of mobility.
We are committed to leading this new era of luxury electric mobility by returning to the
fundamentals of great design—where every decision we make serves both the individual
and the environment. Free from the constraints of convention, we empower you to define
your own experience.
Join a team of some of the most accomplished minds in the industry. In addition to
competitive salaries, we offer a collaborative environment where innovators can make an
immediate and meaningful impact. If you are passionate about building a better, more
sustainable future, Lucid Motors is the place for you.
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 2/3 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 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
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.
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.