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Global Technology Recruitment

What it means for hiring

Buying the place where open models live is a software move with hardware consequences. CUDA already made the GPU hard to leave; owning the default distribution point for models makes it harder again, and every competing accelerator vendor has just been reminded that their silicon is worth exactly as much as the software path onto it.

The hiring read is that AI hardware companies are now in a software arms race most of them staff badly. Compiler, kernel and runtime engineers are the binding constraint at every accelerator startup and at every incumbent building an alternative, and they are paid like software engineers while being recruited by hardware companies benchmarking against hardware salaries. That gap is why those roles sit open for six months, and no amount of rewriting the advert closes it.

Read the original at EE Times .

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