As the demand for low wear materials grows so does the need for accurate, fast, and efficient wear predictions. Abrasive wear occurs when a harder material is rubbing against softer materials. Predictions of the removal of material from a solid surface are useful for estimating component or device service life and can be used as a component of mechanical design. A great deal of attention has been given to predicting the topographical evolution of a wearing surface. These predictions apply physics-based models that relate geometry, pressure, and material wear properties for a given configuration of materials. However, to date, these models have never been integrated into optimization design protocols that prescribe initial configurations or topologies for optimal wear performance. This presentation will highlight the development and validation of a topology optimization tool to aid in the design of the wear surfaces of bi-material composites with prescribed properties.