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I am not the person you're replying to, but in my experience / opinion if you want to do distributed high-performance numerical computing, executing on heterogeneous hardware, C++ is really far and away the best language to get this done. If you're CPU-only, maybe Fortran is a better option but when GPUs enter the mix I don't see how you're going to have an easier time getting the requisite performance with anything else.

I mean, like, you can interface with TensorFlow via Python but the big-kid parts of the implementation are in C++ / CUDA.

http://blog.plover.com/prog/Java.html

I feel great joy coding C++, more than any other language. C++ is built to be used. Every part of it was put in to solve real problems, and they do. I can write thousands of lines of code, and when it finally builds, the program works first time.

More systems level stuff than you'd ever use Java for. Google/Nest hardware devices (display assistant devices, other stuff).