I'm a young researcher with a background in abstract physics and mathematics, specializing in areas like probability theory, spectral analysis, network theory, and statistical/quantum mechanics.<p>I'm considering transitioning to industry, but my coding experience is limited to basic Python. I’m concerned that, with a strong theoretical background but limited engineering skills, I might struggle to find a good fit. Additionally, with the tightening job market, the abundance of remote talent, and the rise of tools like Copilot, I’m wondering how these factors might impact my prospects.<p>For those who’ve made a similar transition—or who have hired people with this kind of background—how did it go? What roles or paths have worked best for you?
Question: Are you assuming that "transitioning to industry" means writing code?<p>Observation: Your background sounds fairly similar to that of Richard Feynman. Who was famously involved in the design of the <a href="https://en.wikipedia.org/wiki/Connection_machine" rel="nofollow">https://en.wikipedia.org/wiki/Connection_machine</a> . (Also - <a href="https://longnow.org/essays/richard-feynman-connection-machine/" rel="nofollow">https://longnow.org/essays/richard-feynman-connection-machin...</a> )