Job Summary

Data is the currency of business in the digital era. NetApp is the data authority, helping customers leverage and manage their data wherever it resides – in the cloud, in their data centers, or anywhere data flows. Engineers at NetApp help transform the way customers utilize their dynamic, diverse, and distributed information. They are allowing doctors to save lives with deep data analytics shared with medical experts around the world, helping automotive engineers improve autonomous vehicle navigation with artificial intelligence, enabling scientists to monitor and identify environmental hazards through deep image analysis, and providing companies the ability to expand their businesses in yet unimagined ways.

By joining NetApp, you can take part in transforming how data is changing the world. ONTAP is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customers information. We have more than 30,000 customers today that rely on us to be the data authority. Take part in the transformation that is changing how we work and play daily.

As a Performance Analysis Engineer, you will work as part of a team responsible for modeling, measurement, and analysis of storage systems performance.   This role is within the Research and Development function whose overall focus is on technology advances, competitive market and customer requirements, product cost and time-to-market, and product quality. Performance engineers focus on performance analysis and improvement for new products and features as well as enhancements to existing products and features.

This position requires an individual to be broad-thinking and systems-focused, creative, team-oriented, technologically savvy, able to lead large cross-functional teams, and driven to produce results.

Essential Functions:

• Create analytical and simulation-based models to predict storage systems performance
• Evaluate design alternatives for enhanced performance, and prototype opportunities for performance enhancements
• Measure and analyze product performance to identify and realize performance improvement opportunities
• Design, implement, execute, analyze, interpret, socialize and apply storage-oriented performance measurements and their results, including the creation of tools and automation
• Work closely with development teams to drive the performance improvement agenda

Job Requirements

•    In-depth knowledge of performance analysis and modeling -- tools, techniques, and benchmarks
•    Extensive knowledge and experience in computer operating systems, computer architecture and design, data structures, software design and programming practices; systems programming in C and/or C++
•    Strong scripting skills - Perl, Python (primarily within JupyterHub), Shell
•    Knowledge of storage systems and file systems highly desirable
•    Ability to create and enhance automation frameworks (generally python-based) to improve productivity in those environments
•    Strong influencing and leadership skills with exceptional presentation and interpersonal skills
•    The ability to make accurate work estimates and develop predictable plans
•    A creative and analytical approach to problem solving
•    Demonstrated willingness to take on additional tasks and responsibilities that positively contribute to realization of team, department, and company goals

Education

B.S and 12 years of experience, M.S. and 10 years of experience or Ph.D. and 8 years of experience, in Computer Science, preferred, or Computer Engineering or related engineering/scientific field.