Title:  Performance Analysis Engineer

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

Performance Analysts at NetApp participate in transforming the ways in which data is changing the world. ONTAP is the world's #1 Storage Operating System, manages hundreds of Exabytes of customer information, and addresses the data management needs of more than 30,000 customers who rely on NetApp as the data authority.

As a Performance Analysis engineer, you will work as part of a team responsible for modeling, measurement, and analysis of storage systems performance. This position will 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:

• Provide performance analysis and characterization of storage systems, features, and components under development
• Apply analytical abilities, computer architecture knowledge, and software/systems design knowledge to analyze performance of proposed designs
• Find and resolve performance issues and performance regressions in the product
• Tune existing designs for benchmark results and collect measurement information for future systems development
• Resolve potentially complex performance issues in the customer environment, if escalated from the support organization

Job Requirements

• Knowledge of computer operating systems, computer architecture, data structures, networking, software design/implementation
• Systems programming in C/C++
• In-depth knowledge of performance analysis and modeling -- tools, techniques, and benchmarks
• Strong scripting skills - Perl, Python (primarily within JupyterHub), Shel
• Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus
• 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
• 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
• Demonstrated willingness to take on additional tasks and responsibilities that positively contribute to realization of team, department, and company goals
• Ability and willingness to adapt to rapidly changing work environment
• Excellent written and verbal communication skills
• Ability to work collaboratively with senior and junior engineers

Education

A Bachelor of Science Degree in Engineering or Computer Science with 2 years of experience, or a Master’s Degree; or equivalent experience is required.