Senior Data Center Performance Engineer

Micron

Longmont (CO)

On-site

USD 116,000 - 198,000

Full time

4 days ago
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Job summary

Micron Technology in the United States is seeking a Senior Systems Performance Engineer to join the Data Center Workload Engineering team. You will identify and improve the performance of memory and storage products in data center systems, collaborating with SSD architects and customer teams in a hands-on, individual-contributor role.

Responsibilities include conducting repeatable studies of AI, database, virtualization, and distributed-storage workloads; planning tests with clear hypotheses;

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field plus 3+ years experience, or Master's with 1+ year.
  • Hands-on Linux deployment and debugging experience.
  • Understanding of storage I/O path (Linux I/O, FS, block storage, NVMe, PCIe).
  • Proficiency with performance-analysis tools and Python or similar.

Responsibilities

  • Conduct repeatable studies of AI, database, virtualization, or distributed-storage workloads on production-class systems.
  • Plan tests with hypotheses, realistic configurations and proper controls.
  • Trace I/O through the system to the SSD, measuring latency, scaling, and power.
  • Identify bottlenecks and test SSD features and system architectures; provide data-backed recommendations.
  • Develop test automation and analysis tools and share findings via reports and customer materials.

Skills

Systems performance
Benchmarking
Python
Linux debugging
Data analysis

Education

Bachelor's degree in Computer Science/Engineering
Master's degree (related field)

Tools

NVMe
PCIe
Perf analysis tools

Job description

Micron Technology in the United States is seeking a Senior Systems Performance Engineer to join the Data Center Workload Engineering team. You will identify and improve the performance of memory and storage products in data center systems, collaborating with SSD architects and customer teams in a hands-on, individual-contributor role.

Responsibilities include conducting repeatable studies of AI, database, virtualization, and distributed-storage workloads; planning tests with clear hypotheses;

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