Power electronic converters are becoming a critical part of the continuing electrification of transportation technology. With the increasing popularity of electric vehicles, high demands are being placed on the performance and reliability of these on-board modules. To meet these challenges, novel architectures and advanced design techniques are being utilized to address the growing issue of proper thermal management for compact power electronic devices. This thesis proposes a novel design methodology that utilizes genetic algorithms to optimize the liquid topologies of compact heat sinks for power electronic systems. By incorporating precise electrical design data into detailed thermal models, the optimization process accurately captures the heat spreading within these complex systems. The intelligence nature of this iterative program identifies ideal design characteristics to improve heat sink performance and generate optimized cooling structures, specifically tailored to target converter systems.