Designing the geometry of soil slope is an effective treatment for preventing slope failure. How to deal with the uncertainties involved in soil parameters in geotechnical design is a main concern of geotechnical engineers. In this study, a robust geotechnical design for soil slopes (RGDS) approach was proposed, in which the Uncertainty eory was introduced to describe explicitly the uncertainties involved in soil parameters. e uncertain reliability is often used to describe the risk of slope failure. e design robustness describing the insensitivity between the variation in the system response and the variation of input uncertain soil parameters was evaluated by the signal-to-noise ratio. e objectives of this design are to maximize the design robustness, minimize the excavation cost, and guarantee the safety (maximize the uncertain reliability). erefore, the RGDS was formulated as a multiobjective optimization, and the optimal design can be determined based on the concepts of Pareto front and knee point. e proposed RGDS approach was illustrated through a numerical case of a two-layer slope design. e numerical results indicate that the RGDS approach is not only more intuitive and easier to follow but also more computationally efficient.