NetApp is an intelligent data infrastructure company that provides unified data storage, integrated data services, and cloud operations solutions to enterprise customers. We help organizations unlock the best of cloud technology. As a technical member of the Common Platform team, you will work as part of the team responsible for Operating System, Kernel, Low level software and System Engineering. As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market. This position requires and individual who is creative, self-motivated, team-oriented, technology savvy, and driven to produce results for the NetApp business.
Job Requirements Apply current software engineering skills and use up-to-date technologies to contribute to team deliverables. Contributions to Design, Coding, Debug & Test, Performance analysis & improvement tasks. Contributions to technical discussions within the immediate team and across functions. Experience with development with C and C++ in LINUX, UNIX environments. Experience with applying standard software engineering practices. Proficient with systems engineering domain concepts such as computer architecture, operating systems, file systems, networking, algorithms & data structures. Good working knowledge of operating system fundamentals, Linux kernel, memory allocation, scheduling, kernel debugging, and driver integration. Ability to work collaboratively with other engineers. Knowledge of storage or cloud technologies is a plus. Strong oral & written communication skills are a plus. Education A minimum of 3 years of experience is required and 3 to 7 years of experience is preferred. A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master Degree or a PhD; or equivalent experience is required. Computer hardware and architecture knowledge, including processor, memory, motherboard, I/O subsystem and understanding of concepts related to data structures and standard programming practice.