Data Center Performance Intern

Micron Technology, Inc

Longmont (CO)

On-site

USD 57,000 - 81,000

Full time

14 days+
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Benefits offered by this job

Mentorship

Job summary

Micron Technology, Inc. is seeking a Systems Performance Engineering Intern in Colorado, Longmont.

You will collaborate with experienced engineers to execute performance analysis on enterprise servers, GPU-accelerated systems, and storage platforms, applying real-world workloads across AI, databases, virtualization, and object storage. You will collect telemetry, validate data quality, and develop Python-based automation tools for test setup, data collection, analysis, and reporting, with direct

Qualifications

  • Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Experience with Linux environments, command-line tools, filesystems, processes, and basic system administration.
  • Programming experience in Python, C, C++, or a comparable language.
  • Strong analytic, problem-solving, and communication skills; familiarity with AI-assisted coding tools is a plus.

Responsibilities

  • Execute performance validation and benchmarking on enterprise servers, GPU-accelerated systems, and data center storage platforms using established test methodologies.
  • Configure and run customer-representative workloads, including AI inference, databases, virtualization, checkpointing, or object storage environments.
  • Collect, validate, and analyze system and device telemetry to ensure data quality, repeatability, and actionable performance insights.
  • Develop or enhance Python-based automation tools for test setup, data collection, analysis, and reporting.
  • Investigate and present findings on a defined performance engineering project, contributing code, documentation, and results back to the team.

Job description

Micron Technology, Inc. is seeking a Systems Performance Engineering Intern in Colorado, Longmont.

You will collaborate with experienced engineers to execute performance analysis on enterprise servers, GPU-accelerated systems, and storage platforms, applying real-world workloads across AI, databases, virtualization, and object storage. You will collect telemetry, validate data quality, and develop Python-based automation tools for test setup, data collection, analysis, and reporting, with direct

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