This work presents a novel optimal design framework that treats uncertain dynamical systems described by ordinary differential equations. A nonlinear vehicle suspension design problem, subject to parametric uncertainty, illustrates the capability of the new framework to produce an optimal design that accounts for the entire family of systems within the associated probability space.