Senior AI ADAS Engineer (f/m/x)

- Design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release. - Define and drive the technical direction of the ADAS AI stack, including its architecture and interfaces to vehicle systems, simulation environments, and validation frameworks. - Own complete training, evaluation, and release cycles, covering data selection, scene mining, closed-loop evaluation, root-cause analysis, and KPI-based validation. - Implement and execute complete training, evaluation, and release cycles, including data selection, scene mining, closed-loop evaluation, root cause error analysis, and KPI based validation. - Design and optimize humanlike driving behavior models, applying behavior modeling, reinforcement learning, imitation learning, and hybrid data/model driven approaches. - Contribute to international rollouts by adapting models to regulatory requirements, regional traffic behavior, and ODD extensions. - Design AI functions that enable robust cross-domain integration across the vehicle and software ecosystem with explainability and interaction in mind.