Senior Perception ML Engineer, Autonomous Driving

Lucidmotors; Michigan; On-site; USD 120,000 - 190,000; Full time

Job summary

Lucid Motors in the United States is seeking an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. This role requires a strong background in ML, computer vision, and perception algorithms, with solid programming expertise.

You will research, design, implement, optimize and deploy state-of-the-art ML models that advance perception for autonomous driving, conduct literature reviews, and contribute to production deployments.

Qualifications

• Strong foundations in deep learning for perception and computer vision.
• Expertise in 3D point cloud processing with LiDAR/RADAR.
• Proficient in Python with clean, scalable software practices.
• Experience with PyTorch, ONNX, TensorRT and deployment toolchains.
• Ability to design evaluation pipelines to unit-test ML models.
• Excellent communication and teamwork; agile development experience.

Responsibilities

• Develop and optimize perception algorithms for Level 2/3 autonomous driving using camera, LiDAR, and radar data.
• Design and implement deep learning models for 2D/3D object detection, segmentation, and tracking.
• Research BEV-based transformer models and integrate sensor fusion.
• Collaborate with cross-functional teams to ensure robust deployment into production vehicles.
• Deploy, test, and release perception algorithms in Lucid production programs.

Skills

Deep learning

3D object detection

Python

PyTorch

ONNX

TensorRT

Education

Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or related field

Minimum 3 years of relevant work experience, or a Ph.D.

Tools

C++

Job description

Lucid Motors in the United States is seeking an experienced Perception Machine Learning Algorithm Engineer to join our ADAS/Autonomous Driving team. This role requires a strong background in ML, computer vision, and perception algorithms, with solid programming expertise.

You will research, design, implement, optimize and deploy state-of-the-art ML models that advance perception for autonomous driving, conduct literature reviews, and contribute to production deployments.