Yes, it comes up in OR (typically in references to problems being NP-complete or NP-hard). It is worth understanding, particularly in terms of understanding the _limitations_ of what P versus NP versus not even NP (cannot be checked in polynomial time) means. The distinction is an asymptotic one (in terms of problem size).
Too many papers use "it's NP-hard" as a convenient excuse to whip out a metaheuristic ... regardless of what the actual solution time for an exact algorithm would be. For instance, it's convenient (and technically correct) to say that a traveling salesperson problem is NP-hard, but the Concorde solver has solved problems with close to 86,000 nodes. I've seen "it's NP-hard" used over and over as an excuse to apply a heuristic or metaheuristic to much smaller instances. So recognizing that "NP-hard" is not automatically a death sentence for exact methods is important in OR.