- developing design of scaling of AI-based solutions in the ADAS field
- evaluation, and implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.)
- generate synthetic data using artificial intelligence (Generative AI) for existing and future software-in-the-loop and hardware-in-the-loop test benches (SiL/HiL)
- ensure that Ai and LLM based solution are applicable for development and adequate training methodologies are provided.
- Responsibility for state of the art AI models in use
Your Profile:
- Bachelors or Masters degree in Computer Science, Software Engineering, or equivalent experience
- Knowledge of artificial intelligence (large language models, neural network training, world foundation models, etc.) and sensor data (camera, LiDAR, radar, etc.)
- Experience with driver assistance systems or autonomous driving functions; at least 3 years of skilled experience in the relevant field
- High interest of newest technologies and development trends in this field of neuronal networks, AI, agentic AI, etc - As this field is fast moving, you shall be very self-driven and motivated to continuously build up knowledge