Salary: 65.000 - 108.000 € per year Requirements: More than 5 years of Research or hands-on experience in AI-based robotics or autonomous driving development with direct responsibility for delivered functions. Strong programming skills in Python for model development, training pipelines, evaluation, and data analysis. Solid C++ experience for production integration, performance critical components, and embedded/vehicle side deployment. Deep expertise in prediction and planning models (incl. negotiation algorithms), including model architecture design and optimization. Practical experience with data driven development: dataset curation, labeling strategies, scenario mining, and largescale evaluation (incl. closed loop simulation). Experience with E2E AI architectures and different learning paradigms (supervised, un-supervised, imitation, reinforcement, student-teacher) - from problem definition and model design through validation, safety assessment, and series release. Experience working in safety critical or regulated environments (ISO 26262 / 8800, SOTIF, or similar) is a strong advantage. Responsibilities: 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. Technologies: AI E2E Embedded Python Robotics Security Machine Learning More: We are a leading premium manufacturer of automobiles and motorcycles, with brands such as BMW, MINI, Rolls-Royce, and BMW Motorrad. Our location in Munich is looking for a Senior AI ADAS Engineer (f/m/x) to be part of exciting projects that shape the mobility of tomorrow. We offer a wide range of personal and professional development opportunities, attractive compensation, high job security, and additional benefits including flexible working hours and special annual payments. Join us in driving the AI transformation at BMW! last updated 17 week of 2026