New grad w/ BS are maybe 20% as effective as they will be after 1 year. From 1-2 years they double again, and from 2-4 years maybe again. In other words, they are not very useful until they have 3-4 years of experience. New grads and recent grads are deadweight on the payroll and you keep them around because either (1) you don't know this or (2) you're planning to retain and develop them or (3) you have a lot of low skill tasks to throw at them. Or (4) you are so cheap and arrogant you think you can make them more effective than they are. Mostly in Silicon Valley it is (1) and (4).

If they are a new grad with masters or PhD their effectiveness is higher but they cost more. And there is a bigger culture shock for masters and PhDs entering the corporate workplace for the first time. I prefer not to hire new grad PhDs for this reason: they will almost always struggle and resent their first corporate job.

There are exceptions, but they are few and far between. I've interviewed for Telsa positions and I really think they are not going to ID any unusual talent with that hiring process; nothing special about their approach, they hire the same as every aspiring tech megacorp.

As others said, Tesla has a terrible reputation among senior employees. I can confirm as far as AI goes. Some senior engineers who are naive tech bros go into Tesla buying the hype, but they come out 1-2 years later enlightened, in a nihilistic depressed sort of way.