Micron
Senior Systems Performance Engineer
$116K–$198K
Longmont-MAX- Office, CO · Senior · Full-time · Posted Oct 29, 2026
- Experience
- More than 3 years with a bachelor’s degree, or over 1 year with a master’s degree.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a similar field; alternatively, a master’s degree. No equivalent-experience alternative stated.
About the job
Studies and improves memory and storage performance in data center systems by benchmarking workloads, tracing I/O, diagnosing bottlenecks, and recommending product and system improvements.
What you'll do
- Run controlled performance studies of AI, database, virtualization, and distributed-storage workloads on production-class systems.
- Trace application I/O to SSDs, measure performance and power, and evaluate bottlenecks, SSD features, system architectures, and competing solutions.
- Build test automation and analysis tools, including AI-assisted workflows, and communicate results through reports, presentations, and customer-facing materials.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a similar field, or a master’s degree.
- Experience in systems performance, application benchmarking, or workload characterization; hands-on deployment and debugging of 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.
Nice to have
- Experience with 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 such as WEKA, Ceph, Cloudian, or MinIO, or with AI-enabled productivity, automation, and analytics tools.
Pay
$116,000.00 - $198,000.00 a year (USD, base salary)
Tools
Linux, NVMe, PCIe, Python, WEKA, Ceph, Cloudian, MinIO
AI focus
Benchmarks AI workloads and develops test automation and analysis tools, including AI-assisted workflows; AI infrastructure and AI frameworks are also listed as preferred areas.
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