This is true, but even engineers see the advantages of Julia. My engineering school has went from almost pure Matlab usage to many key engineering courses switching to Julia due to its simplicity and friendliness.
It's also SOTA for many engineering applications, particularly for acausal modelling and scientific machine learning (see https://sciml.ai), which has led to big companies like Pfizer adopting it [1]. And for engineers writing novel libraries, it clearly has a strong edge. See for example the work by NASA's JPL [2, 3], the FAA [4] or the CliMa project [5].
Tools are valid regarding a context (when you have a hammer everything is a nail etc.). In the industrial context, Julia is not valid. In the research/education, it is valid. It does not mean that Julia will never be relevant in research.
Our upcoming JuliaCon 2024 has a significant number of industrial talks and a minisymposium. ASML uses Julia quite widely in a definitively industrial context.
What I mean is as a worker or student, I want to know if the tools I spend time on will be relevant in the industry. And I think I have more chance to meet companies working with MATLAB than Julia.
But if I want to work at asml Julia might be a good fit ofc.