Few observations from analysis of 100K+ open job postings (from a job search site I am working on) in swe/ai/sre/devops. (ex: China).
Nothing too surprising but am keeping an eye on
- Applied AI (Mention of Claude etc as one of job requirements)
- Hiring trends around entry levels. (Most openings still heavily concentrated at mid/senior bands)
From what I could see, big retailers have a lot of "evergreen" openings which makes sense as they can have multiple locations and there is a lot of churn. And there are obvious outlier sub-categories like warehouse workers etc which have median times <7d, I didn't break it down in the blog as it's too much data to present. But other than that, I don't have enough search data to draw meaningful conclusions. (say around supply/demand)
I see some evidence that hardware roles expect you to leverage AI tools but not sure why it'd eliminate junior roles. I expect the bar on what you can do raise at every level.
Technologist, ASIC Development Engineering – Sandisk
…CPU complex, DDR, Host, Flash, Debug, Clocks, resets, Power domains etc. Familiarity in leveraging AI tools, including GitHub Copilot, for design and development.
A brief analysis across various job categories - not much of surprise but SWE/ML has most exposure. It will be interesting to see how it evolves over next year.
Yup, London has consistently showing up in geographic hotspots in my job postings data. I think it could be also be due to success of companies like DeepMind.
Yeah, lots of examples of that happening. Runna was the latest one I can remember. I won't be suprised at all if ElevenLabs is bought out by a big US player soon.
Nothing too surprising but am keeping an eye on - Applied AI (Mention of Claude etc as one of job requirements) - Hiring trends around entry levels. (Most openings still heavily concentrated at mid/senior bands)
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