Designing and developing automated driving systems are highly interdisciplinary processes. The resulting systems are highly complex, as they integrate various different functional elements as well as hardware and software components which communicate over an even greater number of interfaces. The interaction of these system elements leads to emergent effects that can compromise safetySafety. Hence, in order to argue that the realized system is safe, methods for mastering complexity are essential. (Model-Based) Systems EngineeringSystems Engineering offers such methods, for example in the creation of architecture frameworks which enable a traceable design of architecture views that can address stakeholder concerns from a variety of different disciplines. This chapter gives a motivation for applying architecture frameworks in the design of automated driving systems. It provides an overview over established architectureArchitecture views in the domains of automated driving and (Model-Based) Systems Engineering. Eventually, the chapter points out gaps between established practice and terminology in both fields and elaborates on how closing these gaps has the potential to contribute to designing and developing safe automated driving systems.