•Develop and implement algorithms for structured scene perception and understanding, including lane detection, traffic light and sign detection, road topology, and online map generation and updating.

•Develop image processing chain incl. ISP configuration on SOC, rule base compute vision processing

•Designing software components and interfaces for algorithms, implement and test them in embedded systems.

•Conduct hardware accelerator block configure on SOC for image AI processing

•Depolyment of models on SOC of various SOC platforms

•Master's degree or higher in Computer Science or related fields (e.g., Artificial Intelligence, image processing, Computer Science, Electronic Information Engineering).

•Profound knowledge in the fields of stochastics/statistics and machine learning

•Knowledge in Convolutional Neuronal Networks (CNN) and Transformer and practical experience with their implementation in one of the major machine learning frameworks Tensorflow or PyTorch

•Good knowledge in C++ or Python, especially practical experience in software development e.g. through participation in student competitions or contributions to open source projects is necessary

•Knowledge in software design, clean code, cloud computing or embedded programming is desirable

•Familiar with GPU, CUDA, cuDNN, TensorRT, etc.

•Team player, independent, pragmatic, analytical thinking, systematic and efficient approach, willing to learn and committed