<p>Vibration resistance and light weight are critical for the design of satellite camera-support. Vibrations generated by the support significantly reduce the imaging quality of a camera, and an excessive camera-support mass not only increases the total mass and launch cost but also leads to a larger moment of inertia during camera attitude adjustment. Both characteristics complicate the design of drive mechanisms, increase the power consumption, and reduce the response speed. Therefore, a hierarchical design method that encompasses macro- and meso-level designs is proposed. In macro-level design, a topology optimization formulation for satellite camera-support is established to maximize the fundamental frequency under lightweight constraints. During the optimization, a bound formulation is introduced to eliminate the ill-posed nature of the frequency coincidence and mode transition. Simultaneously, to accelerate the optimization process, a sensitivity analysis based on the adjoint method is carried out. In the meso-level design, a lattice-infilling algorithm based on isoparametric transformation is proposed. The larger-sized components within the optimized result from the macro-level design are infilled by lattice material to further decrease the mass of the camera-support. Finally, the hierarchical design results are prepared by the additive manufacturing. Dynamic experiments and numerical simulations are then conducted to verify the optimized results. The validation results show that the hierarchical design method can improve the dynamic performance while significantly reducing the mass of the satellite camera-support. Compared with the macro-level design, a lattice-infilling design results in a superior lightweight design while maintaining a fundamental frequency almost identical to that of the macro-level design. The proposed hierarchical design method provides an efficient approach to achieving lightweight satellite camera-support with good vibration resistance.</p>