Job Description:
developing design of scaling of AI-based solutions in the ADAS field
evaluation, and implementation of contemporary 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 rapid moving, you shall be very self-driven and motivated to continuously build up knowledge