Performance Analysis Engineer

Title: Performance Analysis Engineer Location: San Jose, CA, US, 95128 Requisition ID: 132660 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 performanc Job Requirements 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 & Experience A Bachelor of Science, Master’s of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent is required. Typically requires a minimum of 5 years related experience. Compensation: The target salary range for this position is 130,900 - 194,700 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.  Nearest Major Market: San Jose Nearest Secondary Market: Palo Alto Job Segment: R&D Engineer, Cloud, Computer Science, Electrical Engineering, Software Engineer, Engineering, Technology