As someone who codes in CUDA daily, putting out and maintaining so many different libraries implementing complex multi-stage GPU algorithms efficiently at many

As someone who codes in CUDA daily, putting out and maintaining so many different libraries implementing complex multi-stage GPU algorithms efficiently at many different levels of abstraction, without having a ton of edgecase bugs everywhere, alongside maintaining all of the tooling for debugging and profiling, and still having regular updates, is quite a bit beyond "barely passable". It's a feat only matched by a handful of other companies.