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 100’s of exabyte’s 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. The overall focus of the Research and Development function, of which this role is a part, is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market. 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, and driven to produce results.
 
Essential Functions:
•    Measure and analyze product performance to identify performance improvement opportunities
•    Design, implement, execute, analyze, interpret, socialize and apply storage-oriented performance workloads and their results, including the creation of tools and automation as necessary
•    Work closely with development teams to drive the performance improvement agenda
•    Evaluate design alternatives for enhanced performance, and prototype opportunities for performance enhancements
•    Create analytical and simulation-based models to predict storage systems performance

Job Requirements Knowledge of performance analysis and modeling techniques, tools and benchmarking. Extensive knowledge and experience in computer operating systems, hardware architecture and design, data structures and standard programming practices; systems programming in C is highly desirable. Strong scripting skills (Perl, python - primarily with Jupyter notebooks, shell) Exceptional presentation and interpersonal skills Strong influencing and leadership skills The ability to make accurate work estimates and develop predictable plans A creative and analytical approach to problem solving

Desirable Skills 

Knowledge of storage and file systems  Understanding of AL/ML workloads and their impact on storage Understanding of performance tradeoffs when designing on-prem and cloud systems The ability and willingness to adapt to rapidly changing work environments, and create/enhance automation frameworks (generally python-based) to improve productivity. Education

•    A minimum of 5 years of experience is required. 6 to 8 years of experience is preferred.
•    A Bachelor of Science, Master’s of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required.