I have a PhD in physics. Then I started working in tech in a small company developing software to solve combinatorial optimization problems. I did more than 400 LC problems last year so I can jump ships and make it to big tech to increase my salary. Now everything is f*cked up. Should I focus on becoming an expert in optimization? At least it is still an open problem and chat gpt can’t solve it yet haha. Or should I learn ML and try to land a ML job? Or go back to physics and work in a national lab, haha?! At least I don’t have to deal with all this tech stress TC: 150 k in Bay Area 😭
Albertsons
Not quantum computing
lol. How is it going for you in Atom Computing? I have actually talked with a HM there a couple of years ago
AI is still hot. Just look at those salaries…
A PhD and 400 leets to make half of what I do Lol. Lmao even. That's before we even take into account japan vs bay area cost/quality of food, housing, 20yo prostitutes, etc Do another 200 leets, nerd
You make 300 k usd in Japan? fml haha
Dude I think it did about 25 LC total. You get diminishing returns and you can't fix stupid.
Learn ML Position to do R&D materials or other physics based ML . ML will be a powerful tool, but will generally need experts in the underlying field to make the most of it, at least for a while., Meanwhile 95% of code will be written by AI and only product managers an software architects will have jobs in SWE.
But wont that impact ml engineers too
Go work at Livermore lab doing physics computations for 20 yr and retire HFT also jerk themselves off over physics phds for some reason if you wanna go the no WLB + greed route
Become a professor
SpaceX
Hey, could I DM you. I'm thinking about going back for a phd. in physics
Sure
Good SWE is not in decline at all. The result of worse nightmare is I jump from top tier to 2nd tier. But you never know. NVidia was considered 2nd tier vs Fang but it is now top tier.
Most people are not good.
Is Snap 1st or 2nd in your anecdote? 😁