Job Description

We are looking for a passionate student to help us develop state-of-the-art AI solutions for ADAS use cases, targeting mobile platforms such as passenger cars, trucks or motorcycles.

In this role you will:

Design and train neural networks (e.g. vision / radar / lidar / language / multi-modal) for various ADAS use-cases such as object detection, lane detection, scene classifiers, path planning, etc.
Design / update / maintain various “classical” 2D/3D (i.e. rule-based) computer vision algorithms
Test and evaluate semantic KPI performance as well as HW efficiency of trained networks / CV algorithms
Implement and test various visualization (2D/3D) methods to analyze performance of CV/AI algorithms
Work with Cloud pipelines for model training and real-time target environments for model deployment
Contribute to various parts of the data lifecycle, ranging from data ingestion, to selection, curation and preparation for