Autonomous Driving Perception ML Engineer

Lucid Motors; Michigan; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan

Paid time off

Equity program

Job summary

Lucid Motors is seeking a skilled engineer to develop and optimize perception systems for autonomous driving. You will work with camera and LiDAR data, building 2D/3D detection, segmentation, and tracking models, and contribute to BEV transformer research.

You will collaborate with cross-functional teams, validate algorithms on prototype vehicles, and help deploy solutions to production programs, bringing cutting-edge ML to real-world mobility.

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.
• Experience with large codebases and debugging complex ML models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).

Responsibilities

• Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data.
• Design and implement 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 validation and verification of perception algorithms using prototype and pre-production vehicles.
• Propose innovative software algorithms to enhance future autonomous driving capabilities.

Skills

Deep learning

Python

PyTorch

C++

ML frameworks

Debugging ML models

Communication

Education

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

Ph.D. in related field (senior)

Tools

PyTorch

TensorFlow

MXNet

Job description

Lucid Motors is seeking a skilled engineer to develop and optimize perception systems for autonomous driving. You will work with camera and LiDAR data, building 2D/3D detection, segmentation, and tracking models, and contribute to BEV transformer research.

You will collaborate with cross-functional teams, validate algorithms on prototype vehicles, and help deploy solutions to production programs, bringing cutting-edge ML to real-world mobility.