gautambay

Hoping to spark an insightful discussion on the how advances in AI will impact the demand for entry-level software engineers, and the nature of that job.

Some prompts to consider:

1. If you work in software engineering, what changes are you observing today, either to the SWE job itself, and/or to demand for entry-level SWE roles?

2. How do you see the entry-level SWE job evolving in 1, 2 and 3 years? Fewer/no roles? Different job description? Something else?

3. How will the pace of change vary across industries? E.g. I imagine SWE at Google is quite different from SWE at Liberty Mutual.

Please consider stating your current role and/or any experiences that have shaped your perspective (e.g. "Engineering leader at a Fortune 500 non-tech company", "recent CS grad", "AI researcher", etc.)

I lead a technology training/upskilling company and am trying to do some research on our next 2-3 courses to build, to upskill engineering teams outside Silicon Valley.

Those of you who work on engineering teams (software, data, AI/ML, devops) at large corporations, especially outside of Silicon Valley -- where do you see the biggest skills gaps? What skills are the hardest to hire for right now? Are companies investing in upskilling their teams, and if so, how?

A year ago, I’d heard from engineering leaders that their teams often lack the capabilities needed to deal with ML models at scale. Is that still the case?