The Data Center Workload Engineering team evaluates how memory and storage products perform within complete data center environments. The team deploys customer-representative workloads across AI, databases, virtualization, and software-defined storage in production-class laboratory environments. By tracing application I/O through hardware and software stacks, the team identifies performance characteristics and opportunities for optimization.

As a Systems Performance Engineering Intern, you will partner with experienced engineers on a defined performance analysis project that delivers meaningful business value. You will complete real-world workloads on enterprise-class systems, collect and analyze performance data, develop automation tools, and present technical findings to collaborators. The role provides direct mentorship, exposure to advanced data center technologies, and hands-on experience with production-scale infrastructure.

Responsibilities

• Execute performance validation and benchmarking activities 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.

Minimum Qualifications

• Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, with an expected graduation date after the internship concludes.
• Completed coursework in operating systems, computer architecture, systems programming, or closely related subjects.
• Demonstrated experience working in Linux environments, including command-line tools, file systems, processes, and basic system administration.
• Programming experience in Python, C, C++, or a comparable programming language.
• Strong analytical, problem-solving, and communication skills, including experience using AI Assisted coding tools to support software development and technical productivity.

Preferred Qualifications

• Academic, personal, or internship experience involving performance measurement, benchmarking, profiling, or systems analysis.
• Familiarity with performance analysis tools such as perf, fio, iostat, bpftrace, or language-level profilers.
• Knowledge of storage technologies and concepts, including block devices, NVMe, PCIe, or file system internals.
• Experience with data analysis and visualization using Python tools such as pandas, matplotlib, or similar libraries.
• Exposure to AI workloads, GPU computing environments, databases, virtualization platforms, distributed storage systems, and version control tools such as Git.

What You Will Gain

• Ownership of a well-defined technical project with measurable work.
• Dedicated mentorship and regular technical reviews with experienced engineers.
• Hands-on experience with production-class lab hardware, including GPU platforms and current-generation SSD technologies.
• The opportunity to present project outcomes to the engineering team and contribute to work that may be considered for publication.

The US base salary range that Micron Technology estimates it could pay for this full-time position is:

$50.24 - $50.24 an hour

Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

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