Perception ML Engineer – Autonomous Driving, Equity

Latitude; Southfield (MI); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Life and disability coverage

401(k) retirement plan

Equity program participation

Discretionary annual cash incentive

Job summary

Lucid Motors is seeking a per­ception software engineer to develop and optimize autonomous driving algorithms using camera and LiDAR data. You will design deep learning models for 2D/3D object detection, tracking, and segmentation and collaborate with cross-functional teams to integrate these models into production.

The role requires strong DL theory, Python proficiency, and experience with ML frameworks such as PyTorch or TensorFlow.

Qualifications

• Strong theoretical foundations in deep learning for perception (object detection, tracking, segmentation).
• Proficient in Python with clean, scalable code.
• Experience with large codebases and debugging ML models.
• Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet).
• Ability to design evaluation pipelines to unit-test ML models under diverse conditions.
• Excellent communication and teamwork.

Responsibilities

• Develop and optimize perception algorithms for autonomous driving using camera/LiDAR data.
• Design/deploy deep learning models for 2D/3D object detection, segmentation, tracking.
• Research BEV-based transformer models for perception tasks.
• Collaborate with cross-functional teams for integration into production.
• Test, release, and deploy perception algorithms in Lucid programs.
• Support validation/verification of perception systems in prototype/pre-production vehicles.
• Propose innovative software algorithms to enhance autonomous driving capabilities.

Skills

Deep learning

Python

ML frameworks

C++

Debugging ML models

Education

Bachelor's degree in Computer/ Electrical/ Automotive Engineering

3+ years experience or PhD for senior role

Tools

PyTorch

TensorFlow

MXNet

Job description

Lucid Motors is seeking a per­ception software engineer to develop and optimize autonomous driving algorithms using camera and LiDAR data. You will design deep learning models for 2D/3D object detection, tracking, and segmentation and collaborate with cross-functional teams to integrate these models into production.

The role requires strong DL theory, Python proficiency, and experience with ML frameworks such as PyTorch or TensorFlow.