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Perception Machine Learning Algorithm Engineer

Newark, CA
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 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 2/2+/3 autonomous driving 
systems using camera, LiDAR and radar data.
• Design and implement cutting-edge deep learning algorithms for 2D/3D object 
detection, segmentation, tracking, and multi-task learning.
• Design, train, and evaluate machine learning or deep learning models for detecting 
vehicles, pedestrians, and other road users from sparse radar data.
• Fuse radar detections with data from camera, lidar, and/or inertial sensors.
• Research and integrate BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams to ensure seamless integration and robust 
implementation.
• Deploy, test and release 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 
dynamic and static object detection, tracking, and segmentation.
• Strong experience with 3D point cloud processing, preferably with radar data.
• Familiarity with common radar data formats (e.g., raw detections, clustered point 
clouds, heatmaps).
• 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 and deployment toolchains, ONNX, TensorRT.
• 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.
• Experience with automotive radar (e.g., Continental, Bosch, Aptiv)
• Background in multi-sensor fusion (radar-camera, radar-IMU).
• 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

 

Salary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
 
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.)

Base Pay Range (Annual)

$154,000 - $211,750 USD

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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