Title:  Cloud Performance Intern

Job Summary

As a Cloud Performance Intern you would participate in performance characterization for NetApp’s Cloud Volumes ONTAP product line. This position requires an individual to be creative, team-oriented, technology savvy, and driven to produce results.

We invest heavily in new talent. Your energy and fresh ideas are vital to cementing our position as a market-leader. We’ll push you beyond your comfort zone with a belief that no idea is off-limits. At the same time, you’ll have all the resources, mentoring and feedback you need to grow. What’s more, whatever your role, you can be yourself in a team that celebrates individuality and welcomes different perspectives.

Job Responsibilities 
•    Support new product development via development, execution, characterization, and documentation of storage performance benchmarks and their results
•    Coding opportunities to enhance our toolset for obtaining and analyzing performance data 

Job Requirements

Experience with multiple programming languages is a benefit but there is also room to improve your skills.  Our intern work differs depending on the team and project work but some potential areas of focus and skill sets are:

Required Skills: 
•    Python, c++, c, plotly, pandas, numpy
•    automation, scripting
•    performance analysis, performance improvement, code optimization
•    enterprise storage, operating systems, file systems and/or networking 

Preferred Skills: 
•    statistics, graduate statistics, queuing theory, probability theory
•    kernel, kernel programming, kernel dev, linux kernel
•    gprof, profiler, profiling, vtune, dtrace

Other helpful skillsets:
•    Proven aptitude for learning new technologies 
•    Creative and analytical approach problem solving skills 
•    Strong oral and written communication is necessary for success 
•    Ability to work on a diverse team, with a diverse range of people and a diverse array of products 

Experience

•    Must be enrolled in an educational or professional program through summer 2025 or later. 
•    Preference to Master & PhD Programs in Computer Science or Computer Engineering.
•    Preference for candidates that desire to hold the position for at least a year or longer, working part time during the year and full time during the summer