testfit1

I don't think you sound stubborn, I think lots of people think the same way. Wishing you the best of luck in your search.

> I'm not a good enough software engineer to do complex stuff (think: very high load, distributed, etc) - so I can't pass interviews to all the FAANG move-fast-high-load-distributed-world-changing-do-our-7-round-dfs-bfs-interview style companies.

Feel free to disregard if you're simply not interested in FAANG, but what makes you say this? What has your interview preparation looked like so far?

I think you can break six figs in pretty much any metro area of US. Might need a couple years of experience in areas with low tech demand, but in major cities (SF, LA, NYC), I would expect the average new grad offer to be right around 100k.

My first job in 2017 was for 130k iirc. I work on ML efficiency. You should check out https://www.levels.fyi/ for more details.

I took Andrew Ng's Coursera ML course but I think it's a bit out of date now. I've heard good things about https://karpathy.ai/zero-to-hero.html to learn AI/ML.

Most tech interviews will have a leetcode component, so I would also take a more advanced algorithms/data structures class like https://www.coursera.org/learn/algorithms-part1

I would also start doing problems on leetcode once you finish the course.

It will help, but you won't be able to totally level the playing field.

For entry level, recruiters get thousands of candidates. They skim each resume for 30s to decide who to bring on to interview and usually don't have the technical context to understand OSS / side projects. If you don't have a degree you likely won't make it past the screen. Also there are many new grads with impressive OSS contributions / side projects.

Also, making a meaningful OSS contribution is ... hard. You have minimal programming experience, you're going to need to learn a lot just to be able to fix a typo. Not to discourage, but just to put into perspective (I work on OSS for FAANG).

The timeline is largely a function of how talented you are and how hard you work.

If you can maintain the rigor and pace of an undergraduate CS degree by yourself, you'll be fine. But I think that's really hard to do, and also misses some of the group aspect of college learning (you can augment with OSS projects though).

If this was 2020 I wouldn't recommend for you to go to college, I would say just bootcamp or self study, and find some startup to work at and hone your skills, and job hop from there. But junior hiring has grown much more competitive.

Do you have any network you can leverage to find a first job? If so, I think that route is definitely better. But in the current market I don't see why a company would hire you vs. some random new grad.

1) Not everyone can cook, but great cooks can come from anywhere. SWE @ FAANG is a high bar, not everyone can reach it. Being older will make it more difficult. But it is not impossible and the only way to find out is to try.

2) Given you have no prior CS background, I would recommend finding a undergraduate / graduate program. I would heavily recommend internships / part-time work as a student. The easiest way to get into FAANG is via return offer for internship. You should practice SWE interviewing and prepare a lot for those interviews, they are a big blocker for many roles, and interviewing techniques are not commonly taught in university.

3) Depends on if you want to do research or engineering and how good you are. I don't think you should worry about this problem now though, you aren't at the stage where specialization matters. Just learn about what interests you.

I think if you're serious about your goal of making it into FAANG, the best-case timeline would be ~5 years. I would break down your goal into smaller ones (Graduation, first internship, first job, etc) along the way to maintain momentum.

The game is definitely worth the grind financially though. Best of luck!