Computational limits influence software engineering by defining the boundaries of what can be achieved with available resources, such as processing power and memory. Software engineers must consider these limits when designing algorithms and writing code to ensure efficiency and scalability. For instance, inefficient algorithms may lead to excessive resource consumption, slowing down performance. Understanding computational complexity allows developers to optimize software solutions that fit within these limits, delivering faster, more responsive applications suited to end-user demands.