Cloud Performance Engineer - AI/ML Driven, Scalable

NetApp, Inc.; Morrisville (NC); Hybrid; USD 148,000 - 220,000; Full time

Benefits offered by this job

Health Insurance

Retirement or Pension Plans

Paid Time Off

Employee stock purchase plan

Job summary

NetApp is seeking a performance engineer to design, analyze, and optimize cloud storage services and distributed systems. You will collaborate with cross‑functional teams to model, measure, and improve performance at cloud scale, balancing cost, quality, and time‑to‑market.

The role emphasizes AI/ML integration, benchmarking, and scalable tooling, with a focus on multi‑tenant cloud environments and high‑throughput workloads. A strong systems background is essential.

Qualifications

• Bachelor, Master or PhD in Electrical Engineering or Computer Science, or equivalent.
• 4+ years of experience in performance engineering.
• Experience applying AI/ML to performance engineering.

Responsibilities

• 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 to accelerate bottleneck analysis and guide optimization priorities.
• Evaluate design alternatives and prototype performance enhancements across cloud services and distributed components.
• Collect and analyze customer experience signals and usage patterns; prepare findings and recommendations for engineering and management.

Skills

Performance analysis

AI/ML techniques

Cloud platforms

Python scripting

C programming

Shell scripting

Education

Bachelor's/Master's/PhD in Electrical Engineering or Computer Science; or equivalent experience

Tools

Jupyter notebooks

Automation tools

Job description

NetApp is seeking a performance engineer to design, analyze, and optimize cloud storage services and distributed systems. You will collaborate with cross‑functional teams to model, measure, and improve performance at cloud scale, balancing cost, quality, and time‑to‑market.

The role emphasizes AI/ML integration, benchmarking, and scalable tooling, with a focus on multi‑tenant cloud environments and high‑throughput workloads. A strong systems background is essential.