Senior Systems Performance Engineer: AI & Storage Workloads

Micron Technology, Inc.

Longmont (CO)

On-site

USD 116,000 - 198,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental and vision plans
Paid time off
Paid holidays
Bonuses and equity

Job summary

Micron Technology, Inc. is seeking a Senior Systems Performance Engineer to optimize memory and storage performance in data center systems.

You will examine AI, database, virtualization, and distributed-storage workloads, tracing I/O paths and identifying bottlenecks to drive improvements. You will work with SSD architects and customer teams in a hands-on, individual-contributor role, deploying software tools and writing analyses to inform engineering decisions.

Qualifications

  • Bachelor’s degree in CS/CE/EE or related field required, with 3+ years of experience; Master’s with >1 year acceptable.
  • Experience in systems performance, benchmarking, or workload characterization.
  • Hands-on experience deploying and debugging applications on Linux; strong storage I/O knowledge.
  • Familiarity with performance-analysis tools and Python or similar for investigation and automation.

Responsibilities

  • Conduct repeatable studies of AI, databases, virtualization, or distributed-storage workloads on production-class systems.
  • Plan tests with clear hypotheses, configurations, and controls.
  • Trace I/O from applications to SSD, measuring efficiency, latency, and power.
  • Identify bottlenecks; test SSD features, architectures, and competing solutions; provide recommendations.
  • Develop test automation and analysis tools; share findings via reports and customer material.

Skills

Systems performance
Application benchmarking
Workload characterization
Linux deployment
Performance-analysis tools
Python

Education

Bachelor’s degree in CS/CE/EE or related
Master’s degree with >1 year experience

Tools

Linux
NVMe
PCIe

Job description

Micron Technology, Inc. is seeking a Senior Systems Performance Engineer to optimize memory and storage performance in data center systems.

You will examine AI, database, virtualization, and distributed-storage workloads, tracing I/O paths and identifying bottlenecks to drive improvements. You will work with SSD architects and customer teams in a hands-on, individual-contributor role, deploying software tools and writing analyses to inform engineering decisions.

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