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sp1982

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投稿

Insights on Software Engineering, AI and DevOps Job Openings – July 2026

corvi.careers
2 ポイント·投稿者 sp1982·9 日前·0 コメント

Where U.S. Salary Ranges Help Job Seekers

corvi.careers
3 ポイント·投稿者 sp1982·16 日前·0 コメント

Where U.S. Salary Ranges Help Job Seekers

corvi.careers
3 ポイント·投稿者 sp1982·18 日前·0 コメント

Measuring Search Ranking Quality with LLM Judged NDCG

corvi.careers
2 ポイント·投稿者 sp1982·18 日前·0 コメント

Insights on Software Engineering, AI and DevOps Job Openings – June 2026

corvi.careers
4 ポイント·投稿者 sp1982·先月·2 コメント

Evaluating job search ranking with LLM judged NDCG

corvi.careers
1 ポイント·投稿者 sp1982·2 か月前·0 コメント

Show HN: US Salary explorer from job postings

corvi.careers
2 ポイント·投稿者 sp1982·2 か月前·0 コメント

US Salary Explorer

corvi.careers
2 ポイント·投稿者 sp1982·2 か月前·0 コメント

Show HN: Search jobs using Claude, Codex via MCP

corvi.careers
1 ポイント·投稿者 sp1982·2 か月前·2 コメント

Insights into software job openings – may2026

corvi.careers
2 ポイント·投稿者 sp1982·2 か月前·0 コメント

What employers expect software engineers to do with AI

corvi.careers
1 ポイント·投稿者 sp1982·3 か月前·1 コメント

Show HN: Corvi Careers – privacy first job search with resume matching

corvi.careers
2 ポイント·投稿者 sp1982·3 か月前·1 コメント

Insights on software engineering job openings – April 2026

corvi.careers
2 ポイント·投稿者 sp1982·3 か月前·0 コメント

Insights on Software Engineering, AI and DevOps Job Openings – April 2026

corvi.careers
2 ポイント·投稿者 sp1982·3 か月前·0 コメント

Simple Methods for Compression of Vectors

corvi.careers
1 ポイント·投稿者 sp1982·3 か月前·0 コメント

Comparison of embedding size reduction methods for vector search

corvi.careers
1 ポイント·投稿者 sp1982·4 か月前·0 コメント

Improving Vector Search for Jobs with Semantic Gating

corvi.careers
1 ポイント·投稿者 sp1982·4 か月前·0 コメント

Global insights on Software Engineering, AI and DevOps job openings – March 2026

corvi.careers
1 ポイント·投稿者 sp1982·4 か月前·1 コメント

How long do job postings stay open?

corvi.careers
33 ポイント·投稿者 sp1982·5 か月前·43 コメント

Hallucinations in GPT5 – Can models say "I don't know" (June 2025)

jobswithgpt.com
1 ポイント·投稿者 sp1982·5 か月前·0 コメント

コメント

sp1982
·27 日前·議論
https://corvi.careers/ job search, via MCP or web. No signup required.
sp1982
·先月·議論
Just a minor suggestion if applicable: My site didn't pick up your listing - Corvi has a direct integration with Ashby. I recommend enabling all of job boards in integrations to get your posting to job search engines beyond popular ones.
sp1982
·先月·議論
Thanks. Yes, entry level roles appear to be under pressure, and middle-management roles in the Bay Area may be seeing similar pressure. (anecdotally) What is less clear is whether these are early warning signs of a broader shift, or simply cost cutting measures to account for AI spend.

IMO, AI coding tools have materially improved SWE productivity compared with two years ago. The open question is whether demand for new products and services will expand enough to absorb that productivity gain. If demand does not increase correspondingly, then it may only be a matter of time before we see meaningful job market pressure, starting with SWE.
sp1982
·先月·議論
I run a job search site and I don't see a crisis in terms of job openings even for SWE - but there is very clear signal that AI is deeply getting embedded in every SWE job.

https://corvi.careers/blog/global_software-engineering_jobs_...
sp1982
·先月·議論
AI is now mentioned almost in 1/3 job openings now compared to ~1/6 at start of year.
sp1982
·2 か月前·議論
Salary explorer based on US job postings: https://corvi.careers/salary-explorer/
sp1982
·2 か月前·議論
I index all of them into a standard schema using various techniques including using LLMs for some part of it.
sp1982
·2 か月前·議論
I am using openai small embedding model with custom compression. It is super cheap. You can read more at https://corvi.careers/blog/vector-search-embedding-compressi...
sp1982
·2 か月前·議論
Write QPS isn't what you want to measure, you should look at index fragmentation, dead tuple usage etc etc. All of those generally go in directions that you don't want.
sp1982
·2 か月前·議論
I am building corvi.careers, its a job search engine not social network tho
sp1982
·3 か月前·議論
http://corvi.careers - job search with features like resume match score etc
sp1982
·3 か月前·議論
The problem is way worse if you update rows, if you stick with insert and delete you can get quite far.
sp1982
·3 か月前·議論
try https://corvi.careers I been building it purely as job search platform, has good coverage of startups and public companies but I’d still recommend to use LI for network tho
sp1982
·4 か月前·議論
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)
sp1982
·5 か月前·議論
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)
sp1982
·5 か月前·議論
I am tracking AI mentions in jobs - https://jobswithgpt.com/blog/ai_jobs_jan_2026/.

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.

Example job mentioning AI: https://jobs.smartrecruiters.com/Sandisk/744000104267635-tec...

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.

Entry level: https://job-boards.greenhouse.io/spacex/jobs/8390171002?gh_j...
sp1982
·5 か月前·議論
Give https://jobswithgpt.com a shot. Good luck.
sp1982
·5 か月前·議論
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.
sp1982
·5 か月前·議論
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.

https://jobswithgpt.com/blog/global_software-engineering_job...
sp1982
·5 か月前·議論
My data is a bit incomplete for amazon but here is some analysis on where they seem to be focusing based on job postings:

https://jobswithgpt.com/company-profiles/amazon/