









Within ADAS pre-development, we design and evaluate next-generation intelligent driving functions using data-driven and automation-focused approaches. Our team focuses on scalable AI architectures, robust data strategies, and systematic competitive benchmarking for cutting-edge driver assistance systems and automated driving functions. What awaits you? * You will support the design of AI agents for structured benchmarking of ADAS functions, including feature comparison, functional analysis, and competitive evaluation. * Furthermore, you help develop agent-based workflows for automated information retrieval, structuring, and evaluation leveraging Large Language Models and orchestration tools such as n8n. * In addition, you contribute to the development of synthetic data pipelines for generating relevant training and validation scenarios for automated driving functions. * Moreover, you assist in building and extending Python-based data processing and analysis pipelines for structured and unstructured datasets. * You will also help with the integration of AI-driven solutions into existing development, simulation, or cloud environments.