Senior AI ADAS Engineer (f/m/x)

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

In this role, you will be responsible for the end-to-end development of AI-based ADAS functions across all markets, ODDs (Operational Design Domains), and releases - from data selection and model design through training, validation, and series release. The role combines deep methodological expertise in ADAS models (Perception, Prediction, Planning) with hands-on software development and production ready implementation.

What awaits you?

• You will 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.
• In addition, you will define and drive the technical direction of the ADAS AI stack, including its architecture and interfaces to vehicle systems, simulation environments, and validation frameworks.
• You will own complete training, evaluation, and release cycles, covering data selection, scene mining, closed-loop evaluation, root-cause analysis, and KPI-based validation.
• Furthermore, you 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.
• Additionally, you design and optimize humanlike driving behavior models, applying behavior modeling, reinforcement learning, imitation learning, and hybrid data/model driven approaches.
• You contribute to international rollouts by adapting models to regulatory requirements, regional traffic behavior, and ODD extensions.
• With explainability and interaction in mind, you design AI functions that enable robust cross‑domain integration across the vehicle and software ecosystem.