I kinda doubt it. Nobody paid me to do that though. I was just interested in LCZero. To get that $500k/year, I think you need up to date ML understanding and not just CUDA. CUDA is just another programming language while ML is a big area of active research. You could watch some of the fast.ai ML videos and then enter some Kaggle competitions if you want to go that route.
You're wrong. The people building the models don't write CUDA kernels. The people optimizing the models write CUDA kernels. And you don't need to know a bunch of ML bs to optimize kernels. Source: I optimize GPU kernels. I don't make 500k but I'm not that far from.
How much performance difference is there between writing a kernel in a high level language/framework like PyTorch (torch.compile) or Triton, and hand optimizing? Are you writing kernels in PTX?
What's your opinion on the future of writing optimized GPU code/kernels - how long before compilers are as good or better than (most) humans writing hand-optimized PTX?
Heh I'm in the wrong business then. Interesting. Used to be that game programmers spent lots of time optimizing non-ML CUDA code. They didn't make anything like 500k at that time. I wonder what the ML industry has done to game development, or for that matter to scientific programming. Wow.
