Senior Systems Performance Engineer - Modeling

Micron • Longmont, CO

5d

About The Position

Micron Technology’s Data Center Workload Engineering team is seeking a Senior Systems Performance Engineer to build data center-scale performance and power models for Micron SSD and DRAM products. The role involves developing software tools and analysis frameworks to project product performance under real and emerging data center workloads, particularly AI training, inference, agent AI, and large-scale data analytics.

The engineer will build and validate models in full-system and data center contexts, combining hands-on lab work, software development, and collaboration with architects, product engineers, and system designers. The work supports understanding workload behavior and making informed architecture and product decisions, with opportunities to deepen expertise in data center performance modeling.

Requirements

• A BS in Computer Engineering, Computer Science, Electrical Engineering, or a related field, plus 3 or more years of relevant industry experience; alternatively, an MS, PhD, or equivalent experience plus 1 or more years.
• Graduate research in systems performance or architecture counts toward experience.
• Hands-on experience with Linux servers and physical hardware.
• Experience writing software for modeling, simulation, data analysis, or automation.
• Experience building or extending a performance, power, or analytical model and checking it against measured data.
• Working knowledge of compute, memory, storage, and interconnect systems, including PCIe, DMA, and memory fundamentals.
• Ability to explain technical findings clearly.

Responsibilities

• Build performance and power models for SSDs and DRAM in servers and data centers.
• Write tools in Python, C/C++, or a similar language.
• Use benchmarks, workload traces, and field telemetry to project performance.
• Test server platforms and measure throughput, latency, bandwidth use, endurance, and power.
• Use measurement results to validate models.
• Analyze AI and data-intensive workloads.
• Compare performance, power, and cost across compute, memory, storage, and interconnect choices.
• Share model assumptions, results, and recommendations.
• Contribute to simulation or emulation work when needed.

Benefits

• Medical insurance plans
• Dental insurance plans
• Vision insurance plans
• Income protection benefits for illness or injury
• Paid family leave
• Paid time off
• Paid holidays
• Additional compensation may include bonuses and equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior