Intern- Deep Learning R&D for Automated Driving
Based in South Korea
Core
Design and prototype deep learning architectures for end-to-end automated driving (perception to planning) and camera perception for 3D lane/road boundaries.
Role type
Intern, Deep Learning Researcher (Automated Driving)
Builds
Next-generation automated vehicle compute solutions (L2/L3/L4 ADAS)
Domain
Automotive, Deep Learning, Computer Vision
Deliverable
production ML models
Required skills
Deep learning architectures/pipelines, Vision-based perception, LLM integration, 3D lane/road boundary detection
Preferred skills
Python, C/C++, Published papers in deep learning
Technologies
PyTorch, TensorFlow
Responsibilities
Develop deep learning models for automated driving perception and planning; Implement state-of-the-art models for 3D lane and road boundary detection
Seniority
Intern, PhD student
