ADAS AI/ML Engineer

Role overview

Responsibilities

• check_circle Developing design of scaling of AI-based solutions in the ADAS field.
• check_circle Evaluation, and implementation of modern generative AI models (LLM-based generators, diffusion models, GANs, etc.).
• check_circle 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).
• check_circle Ensure that Ai and LLM based solution are applicable for development and adequate training methodologies are provided.
• check_circle Responsibility for state of the art AI models in use.

Basic qualifications

• Bachelor’s or Master’s 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 professional 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.
• Fluent in English.

Benefits

• check_circle Real impact on ADAS systems improving road safety.
• check_circle Stable employment and attractive work conditions.
• check_circle Possibility of professional development in an international environment.
• check_circle Benefit package – private healthcare, life insurance, My Benefit system etc.
• check_circle Flexible working hours, hybrid working model, and international collaboration.

About the company