Perception ML Engineer – Autonomous Driving (ADAS)

Lucidmotors; Southfield (MI); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Equity program

Job summary

Lucid Motors is seeking a skilled candidate to develop and optimize perception algorithms for autonomous driving using camera and LiDAR data at our Michigan facilities. You will design, implement, and test 2D/3D object detection, segmentation, and tracking with BEV transformer models, collaborating with cross-functional teams for robust integration.

The role requires deep learning expertise, Python proficiency, and experience with ML frameworks.

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 ML frameworks (e.g., PyTorch, 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 a related engineering field; 3+ years of relevant work experience, or Ph.D. for senior roles.

Responsibilities

• Develop and optimize perception algorithms for 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 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

TensorFlow

C++

BeV transformer models

Algorithm development

Education

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

Ph.D. in related field (senior position)

Advanced degrees preferred

Tools

PyTorch

TensorFlow

MXNet

Job description

Lucid Motors is seeking a skilled candidate to develop and optimize perception algorithms for autonomous driving using camera and LiDAR data at our Michigan facilities. You will design, implement, and test 2D/3D object detection, segmentation, and tracking with BEV transformer models, collaborating with cross-functional teams for robust integration.

The role requires deep learning expertise, Python proficiency, and experience with ML frameworks.