This paper designed an eight-axis control system by adopting ASIC as the central core, and using the PCI multi-axis controller to control the stepper motor movement through state feedback. Combining the advantages of Hopfield neural network and the genetic algorithm, the control system adopted GA-Hopfield neural network to optimize the path of Chinese sculpture. This method solved the perplexity sculpture process problem and shortened the total sculpture path. This paper presented the hardware structure of the system, the GA-Hopfield neural network optimization algorithm and its simulation. The application has shown that the multi-axis motion control system has good stability and control accuracy.