Hmm, curious, why would that be? Or rather, what are the features that make you think Julia has that other languages and technologies don't have that would be killed in military and government?
I work within that area and if anything the military and government love their red tape, certifications, protection profiles, rubber stamps that it would seem like the last industry to jump on a new and largely yet unproven language. You wouldn't believe the number of Windows XP and RHEL 4 and 5 servers still running.
Trying to be everything to everyone just makes you lose focus and causes too much complexity. Better to be lean and mean and somewhat specialized
On the flip side, the distributed engineers might even be worse at the math than the data jocks are at programming. A middling concept for a machine learning guy, like say a Bayes error, is like trying to write concurrent state machine in assembly.
tl;dr - the pool of people that are both elite math jocks and elite system jocks is vanishingly small, as in I would be shocked if that number was out of the triple digits world wide.
Julia has a lot of promise in that it gives the math guys familiar syntax, but appears to have the underlying capability to be very fast on shared memory architecture. It's already got the handles to call out to python / C / Fortran bindings.