Perception ML Engineer - ADAS & BEV Vision

Lucid Motors; Southfield (MI); On-site; USD 110,000 - 160,000; Full time

Job summary

Lucid Motors in Michigan is seeking a skilled perception systems engineer to develop and optimize perception algorithms for autonomous driving using camera and LiDAR data. You will design cutting-edge deep learning models for 2D/3D object detection, segmentation, tracking, and multi-task learning, and integrate BEV-based transformer approaches into production-ready software.

Collaborating with cross-functional teams, you will test, release, and deploy algorithms across Lucid's vehicle programs

Qualifications

• Strong theoretical foundations in deep learning algorithms including object detection, tracking and segmentation.
• Proficient in Python with clean, efficient, scalable software development.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design evaluation pipelines to unit-test ML models under diverse conditions.

Responsibilities

• Develop and optimize perception algorithms for autonomous driving 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

Object detection

Tracking

Segmentation

BEV transformers

Communication

Team collaboration

Education

Bachelor's degree in Computer Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Automotive Engineering

Bachelor's degree in Mechanical Engineering

PhD in related field

Tools

PyTorch

TensorFlow

MXNet

C++

Job description

Lucid Motors in Michigan is seeking a skilled perception systems engineer to develop and optimize perception algorithms for autonomous driving using camera and LiDAR data. You will design cutting-edge deep learning models for 2D/3D object detection, segmentation, tracking, and multi-task learning, and integrate BEV-based transformer approaches into production-ready software.

Collaborating with cross-functional teams, you will test, release, and deploy algorithms across Lucid's vehicle programs