Senior Systems Performance Engineer

Micron Technology•Longmont, CO

1d•$116,000 - $198,000

About The Position

Micron Technology is seeking a Senior Systems Performance Engineer to join its Data Center Workload Engineering team. The role focuses on identifying and improving the performance of Micron memory and storage products in data center systems. The engineer will investigate performance limits and implement improvements, collaborating with SSD architects, product engineers, and customer teams in a hands-on individual-contributor position.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a similar field and more than 3 years of experience; alternatively, a master’s degree and more than 1 year of experience.
Experience in systems performance, application benchmarking, or workload characterization.
Hands-on experience deploying and debugging applications on Linux.
Working understanding of the storage I/O path, including Linux I/O, file systems, block storage, NVMe, and PCIe.
Proficiency with performance-analysis tools and Python or a similar language for problem investigation, test automation, and result explanation.

Nice To Haves

Experience testing AI infrastructure, databases, virtualization, high-performance computing, or distributed storage.
Knowledge of GPU-accelerated systems or AI frameworks.
Familiarity with software-defined or object storage solutions such as WEKA, Ceph, Cloudian, or MinIO.
Experience measuring power, efficiency, quality of service, or SSD behavior under application load.
Ability to build reusable analysis tools or present technical findings to wider audiences.
Working knowledge of AI-enabled productivity, automation, and analytics tools such as Microsoft Copilot, Claude CoWork, GitHub Copilot, or Power Automate.

Responsibilities

Conduct repeatable studies of AI, database, virtualization, and distributed-storage workloads on production-class systems.
Plan tests with clear hypotheses, realistic configurations, and appropriate controls.
Trace application I/O through the system to the SSD, measuring efficiency, completion time, scaling, tail latency, consistency, and power.
Identify bottlenecks and test SSD features, system architectures, and competing solutions.
Provide data-backed recommendations for improvements.
Develop test automation and analysis tools, including AI-assisted workflows.
Share findings through engineering reports, presentations, and customer-facing technical material.