Nowadays, the automotive industry is going through a digital transformation: vehicles are evolving into software-defined systems with over-the-air (OTA) updates, feature-on-demand and rapid release cycles. But, still, the development pipeline, from desktop simulation tools to hardware- in-the-loop (HiL) rigs and in-vehicle ECUs, remains fragmented. Simulation frameworks, mid- dleware stacks and real-time test benches often do not interoperate seamlessly, in this way the end-to-end validation is delayed and the time-to-market increases. To address this gap, this the- sis proposes a solution for an end-to-end real-time automotive platform that decouples functional logic from both execution environment and specific use cases. By abstracting transport, timing and hardware layers, the platform can host different driver-assistance or vehicle-management module, such as mission optimization or driver-state monitoring.