NetApp Performance Analysis Engineer - Core Engineering 

United States, North Carolina 

421407733

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

Responsibility:

• Responsible for non-routine and unstructured tasks, requiring creative solutions with more interdependencies and with processes that are less defined
• Apply attained experiences and knowledge in solving problems that are complex in scope and which require requiring in-depth evaluation

Interaction:

• Work effectively with staff to Vice-President level employees within the function, across functions and with external parties
• Successfully convey information to stakeholders at many levels related to the position
• Work effectively with senior engineers within Business Unit
• Participate as a proactive contributor and subject matter expert on team projects
• Demonstrate favorable results through regular coaching and mentoring others

• 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
• 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.

Typically requires a minimum of 2 years of related experience and a M.S.or PhD in Computer Science (preferred), Computer Engineering, or related engineering/scientific field or equivalent technical knowledge and experience. Job level will depend on education and experience.