This study presents a simulation-based optimization of the upper control arm in a transverse push-rod suspension system for a Formula SAE vehicle. The design process centers on the parametric variation of the three critical connection points that define the arm’s geometry, resulting in a nine-variable configuration space. By systematically exploring this space through a Design of Experiments (DOE) framework, a Response Surface Methodology (RSM) is applied to both identify optimal geometries and assess the sensitivity of component behavior to each variable. Mechanical simulations under various dynamic conditions, such as braking, acceleration, and cornering, provide the performance data used in statistical modeling. The approach enables early-stage prediction of structural response, guiding CAD development and physical prototyping while significantly reducing trial-and-error iterations. Beyond optimization, this work offers insight into the relative influence of design parameters, supporting more informed and resource-efficient decision-making in the suspension design workflow in an early stage of product development, even before CAD prototyping.