Software Engineer

NetApp; United States; Hybrid; USD 113,000 - 168,000; Full time

Job summary

NetApp seeks a systems-focused performance engineer to design, develop, analyze, and optimize software and performance capabilities for storage services and distributed systems. You will collaborate with cross-functional teams to model, measure, and improve performance, scalability, and cost-efficiency while balancing quality, cost, and time-to-market.

The ideal candidate is analytical, creative, and driven to deliver measurable improvements at scale.

Qualifications

• Strong scripting/automation skills (Python, shell; Perl ok).
• Experience with performance analysis, modeling, benchmarking, workload characterization.
• Advanced degree or equivalent in EE or CS preferred.

Responsibilities

• Design and execute performance benchmarks/workloads; socialize results and opportunities.
• Apply AI-assisted performance techniques and develop tools to accelerate bottleneck analysis.
• Evaluate design alternatives and prototype performance enhancements across platforms.
• Collect and analyze customer usage patterns; present findings to engineering/management.

Skills

Scripting & automation

Performance analysis

Modeling & benchmarking

Education

B.S./M.S./Ph.D. in Electrical Eng or CS

Tools

Python

Jupyter notebooks

Job description

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

Job Summary

Design, develop, analyze, and optimize software and performance capabilities for storage services and distributed systems. In this role you will collaborate with cross-functional engineering teams to model, measure, analyze, and improve the performance, scalability, and cost-efficiency of HW platforms—ensuring customer and market requirements are met while balancing quality, cost, and time-to-market. The ideal candidate is systems-focused, analytical and creative, and driven to deliver measurable performance improvements at scale.

Job Requirements

• Design and execute performance benchmarks/workloads; measure, analyze, interpret, and socialize results to identify improvement opportunities.
• Apply AI-assisted performance engineering techniques and develop tools (e.g., performance analysis, automated regression triage) to accelerate bottleneck analysis and guide optimization priorities.
• Evaluate design alternatives and prototype performance enhancements across platforms and distributed components.
• Collect and analyze customer experience and usage patterns; prepare findings and recommendations for engineering and management.

Job Requirements

• Proficiency with scripting and automation (Python, shell; Perl acceptable) and comfort working with notebooks (e.g., Jupyter).
• Knowledge of performance analysis, modeling techniques, benchmarking, and workload characterization

Education

• A Bachelor of Science, Master of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required.

The target salary range for this position is 113,050 - 168,300 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, 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.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.