Principal Systems Performance Engineer – Modeling

Responsibilities

• Design, build, and operate data center-scale logical models to evaluate future SSD product scenarios
• Integrate workload data, telemetry, and benchmarks into performance, power, and cost projections
• Model hyperscaler tradeoffs across compute, memory, storage, and interconnects to identify differentiation
• Analyze AI cloud architectures and quantify the impact of component choices
• Communicate technical insights and recommendations clearly to senior leadership

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field
• 10+ years of experience in hyperscale data centers or large cloud environments
• Hands-on software development experience in Python, C/C++, or similar languages
• Strong understanding of data center system architecture, including compute, memory, storage, power, and interconnects
• Experience translating complex technical analysis into executive-level recommendations

Preferred Qualifications

• Master's degree or PhD in a relevant technical field
• Experience building system-scale performance, power, or cost models using real data
• Background in SSD or DRAM product engineering or performance analysis
• Familiarity with simulators or system tools such as gem5, Simics, SST, QEMU, or PCIe subsystems
• History of building internal tools or contributing to publications and patents

About the Company

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. Our Data Center Workload Engineering team works at the intersection of systems, data, and architecture to guide long-term product decisions for the next generation of hyperscale and AI-driven data centers.