Here's a list of broad fields within scientific computing that you can dig into: * Numerical simulation: writing code to solve physical models (fluid dynamics,

Here's a list of broad fields within scientific computing that you can dig into: * Numerical simulation: writing code to solve physical models (fluid dynamics, material stress, etc), optimizing them for a given goal * High-performance computing: running those simulations or other compute-intensive task in a supercomputer (aka a bunch of computers networked together), using APIs like OpenMP * Machine learning: training and using mathematical models to predict things about the world. Seems to be all the rage right now... * Data visualization: how do we make sense of all of this data!? To answer your question more directly, if you have a broad familiarity with some of the topics I listed above (and a natural curiosity and ability to learn, most importantly), you should be able to land a junior job and go from there. Think about the types of companies that use these things. E.g.: biomedical companies need lots of machine learning people, jet engine manufacturers use lots of numerical simulations.