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. * 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. * Experience with E2E AI architectures and different learning paradigms ...
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