What is HPC? A high-performance computer that has been connected via parallel computing to a large number of other computers. When connected properly, high-performance computing clusters have an exponentially larger processing space than a single computer, which enables data, AI, and other scientists to run complex simulations or organize immense sets of data in a short period of time. If you want to work with high-performance computing clusters, consider the following jobs.
1. Machine Learning Researcher
Udacity's Machine Learning Engineer course is the perfect place to start your journey into the world of machine learning research. As a researcher in the field, you'll work with scientists, mathematicians, physicists, and quantum computing experts to address the problems with the current state of software engineering and cluster computing and make the industry faster and more powerful.
2. Director of Engineering
Become the director of engineering for a big company with immense data processing needs. Ensure that budgets are met, team schedules are adhered to, and the computer clusters are maintained at optimum productivity. You'll also oversee managers and department teams to complete projects and address the development of the cluster software and hardware.
3. Software Architect
Use high-performance computing clusters to write your own software for companies in communications, science, or marketing industries. Expertise as a data analyst is a major benefit within this job and any AI or HPC role.
4. System Automation Specialist
Where there is cluster computing, there is an automation specialist. In this role, you'll need to be a creative software designer who is quick to see programming faults and write appropriate patch software for them. The goal is to maintain a computing cluster that needs minimal input and management, so the units can spend their time smoothly processing.
5. Systems Analyst
Systems analysis is an ongoing role in which you are responsible for testing the operational functions of a computer cluster and solving problems as they arise. You'll constantly be setting up new performance tests, recording results, and designing recommendations for amending the software or hardware of the clustered computers.
6. AI Programmer
One of the most exciting applications of HPC technology is artificial intelligence. Immense sets of data and high processing needs have restricted the growth of AI until now, but as HPC becomes more effective, programmers can do some amazing things with artificial intelligence software, from improved Internet search platforms and home maintenance to drug creation and companion robots for elderly care.
Have a look at Udacity's Data Scientist and Intro to Programming Nanodegree programs if you are interested in working with HPC clusters and AI programs in the future, as these are a great place to start.