Deep Learning Engineer – AI Safety (f/m/div.)
Core
Create, optimize, and deploy deep learning architectures for sensor fusion (RGB, LiDAR, Radar) to define and develop AI safety methods for perception in autonomous driving.
Role type
Deep Learning Engineer (AI Safety)
Builds
Innovative safety measures and optimized deep learning architectures for autonomous driving perception systems.
Domain
Automotive Electronics / Autonomous Driving / AI Safety
Deliverable
production ML models
Required skills
Deep Learning, Computer Vision, Digital Signal Processing, Python, Statistics, 3D Object Detection, Semantic Segmentation, Freespace Detection, Transformer-based architectures, TensorFlow/Pytorch
Preferred skills
Anomaly Detection, Uncertainty Quantification, Knowledge Distillation, Foundation models, Ensemble training, Technical mentoring, AI model deployment, OpenMMLab, Tracking algorithms, ISO 26262/SOTIF knowledge
Technologies
TensorFlow, PyTorch, OpenMMLab
Responsibilities
Create and optimize deep learning architectures based on RGB, LiDAR, and Radar fusion systems; Define and develop innovative AI safety methods for sensor fusion architectures; Improve and optimize new solutions within the Research and Innovation team; Interact with stakeholders to ensure technical alignment.
Seniority
Mid-Senior (3-5 years experience)
