Lucid Motors
Perception Machine Learning Engineer – ADAS
About this role
Lucid is seeking a Perception Machine Learning Engineer to develop and optimize advanced deep learning algorithms for autonomous driving systems. You'll work on camera and LiDAR-based perception tasks including object detection, segmentation, and tracking while researching cutting-edge BEV transformer models for ADAS applications.
What you'll do
- Develop and optimize perception algorithms for autonomous driving using camera and LiDAR sensor data
- Design deep learning models for 2D/3D object detection, segmentation, and multi-task learning
- Research and integrate Bird's Eye View transformer-based perception architectures
- Implement tracking and real-time processing for ADAS systems
- Collaborate with cross-functional teams on algorithm integration and deployment
- Evaluate and improve model performance across diverse driving scenarios
What they're looking for
- Deep learning frameworks (PyTorch, TensorFlow)
- Computer vision and object detection
- 3D perception and sensor fusion
- Python programming
- Transformer architectures
- LiDAR and camera data processing
- CUDA/GPU optimization
- Machine learning model optimization
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Lucid Motors
Lucid Motors manufactures electric vehicles and is hiring quality engineers to improve production processes and resolve customer issues at their Arizona facility. The company is looking for manufacturing and field quality professionals to drive process improvements, investigate warranty concerns, and enhance overall vehicle performance.
- Website
- lucidmotors.com
Likely interview questions
- Walk us through your experience developing perception models for autonomous vehicles or robotics applications.
- How have you approached optimizing deep learning models for real-time inference on embedded hardware?