Deep Learning Engineer for Automated Driving

Design end-to-end architectures for automated driving with a strong focus on planning and decision-making, leveraging large language models (LLMs) to enable advanced reasoning and optimization. Develop reinforcement learning algorithms for real-world autonomous vehicle control. - Strong understanding and experience of deep learning - Proficiency in one of deep learning frameworks (PyTorch, TensorFlow, ) - Industry experience working with(in) OEM/Tier-1 for automated driving Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.