Deep Learning Engineer (f/m/div.)
Core
Create, optimize, and deploy Deep Learning architectures based on LIDAR, RGB, NIR, Radar, and ToF camera fusion systems for vehicle interior sensing monitoring.
Role type
Deep Learning Engineer (Sensor Fusion)
Builds
Innovative sensor fusion system architectures for vehicle interior sensing
Domain
Automotive Electronics / Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Python, Digital Signal Processing, Computer Vision, Deep Learning, Transformer-based architectures for 3D Object Detection, Deep learning frameworks (TensorFlow/Pytorch)
Preferred skills
AI explainability
Responsibilities
Define and interact on innovative sensor fusion system architectures; Work in close cooperation with Research and innovation team to improve and optimize new solutions; Understand and analyze the interplay of hardware, software and algorithm architectures and applications
