To design a simple neural network in PyTorch for CIFAR-10 classification, I would use the nn.Module class to define the architecture with convolutional layers, followed by activation functions like ReLU, pooling layers, and a final fully connected layer. I would also prepare the dataset using torchvision to handle loading and preprocessing.