Senior Perception ML Engineer - Autonomous Driving

Lucid Motors

Southfield (MI)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Lucid Motors is seeking an experienced Perception Machine Learning Algorithm Engineer to advance perception for Level 2/2+/3 autonomous driving. You will design and deploy state-of-the-art models using camera, LiDAR, and radar data within production vehicles.

The role requires strong PyTorch, Python, and deployment toolchain expertise, with experience in BEV transformers and multi-sensor fusion.

Qualifications

  • Strong foundations in deep learning for perception, including detection, tracking, and segmentation.
  • Experience with 3D point cloud data from LiDAR/Radar.
  • Proficient in Python; able to work with large codebases and ML models.
  • Familiarity with PyTorch, ONNX, and deployment toolchains; TensorRT preferred.
  • Bachelor’s degree in Computer/Electrical/Automotive Engineering; 3+ years of relevant work, or PhD; advanced degrees preferred.

Responsibilities

  • Develop and optimize perception algorithms for autonomous driving levels 2/2+/3 using camera, LiDAR, and radar data.
  • Design and implement 2D/3D object detection, segmentation, and tracking models.
  • Train and evaluate ML/DL models for detecting vehicles and pedestrians.
  • Integrate BEV-based transformer models for perception tasks.
  • Collaborate with cross-functional teams to ensure robust deployment in production.
  • Deploy and test perception algorithms in Lucid production programs.

Skills

Deep learning
3D point cloud
Python
C++
Model deployment

Education

Bachelor's degree in Engineering/Computer Science
Advanced degree preferred

Tools

PyTorch
ONNX
TensorRT

Job description

Lucid Motors is seeking an experienced Perception Machine Learning Algorithm Engineer to advance perception for Level 2/2+/3 autonomous driving. You will design and deploy state-of-the-art models using camera, LiDAR, and radar data within production vehicles.

The role requires strong PyTorch, Python, and deployment toolchain expertise, with experience in BEV transformers and multi-sensor fusion.

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