Sr/Staff Perception Machine Learning Engineer

Lucid Motors • Michigan, United States, MI

7d

About The Position

Lucid is seeking an experienced Perception Machine Learning Algorithm Engineer to join its ADAS/Autonomous Driving team. This role requires a skilled professional with a strong background in machine learning, computer vision, and perception algorithms, along with solid programming expertise. As part of the Perception team, you will be responsible for researching, designing, implementing, optimizing, and deploying state-of-the-art machine learning models to advance perception algorithms for autonomous driving. Your work will involve conducting literature reviews, developing and modifying models to improve performance, and contributing to the deployment of these models in production vehicles.

Requirements

• 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, with Lidar/Radar data.
• 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.

Nice To Haves

• Advanced degrees are preferred.
• Experience developing BEV transformer models for perception.
• Background in multi-sensor fusion.
• 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.

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.
• Sensor fusion with data from camera, lidar, radar 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.

Benefits

• medical, dental, and vision insurance
• life and disability coverage
• paid time off
• paid holidays
• paid sick leave
• 401(k) retirement plan
• Lucid’s equity program
• discretionary annual cash incentive program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior