Build systems are essential tools for compiling codebases of any complexity. In order to maximize performance, they use parallelism to complete multiple build steps simultaneously. In this thesis, we examine the effectiveness with which common build systems distribute work across available CPUs. We design an automatic process for fetching, compiling, and inspecting the build steps of common C/C++ codebases, and use it to benchmark various build systems. Based on empirical performance measurements and an analysis of the source code of these build systems, we find that the differences in task scheduling between build systems do not significantly affect performance.