Principal AI Systems Performance Engineer

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Micron's Data Center Workload Engineering team studies how real AI workloads use compute, memory, interconnects, and storage. We turn system-level measurements into insights that help build future Micron DRAM (DDR and LPDDR), HBM, CXL, and storage products.

Position Overview

As a Principal AI Systems Performance Engineer, you will direct experiments on AI training, inference, and agentic workloads across complete server systems. You will pinpoint where bandwidth, capacity, latency, power, and data movement restrict performance—then convert your discoveries into product requirements and guidance for engineering, product, and customer teams. Your efforts will link current measurements with the demands of future AI infrastructure.

Responsibilities

• Develop and perform controlled, representative AI experiments on current and pre-production CPU-GPU systems, evaluating memory and storage performance, power, and thermal tradeoffs.
• Profile workloads from GPU memory through system memory, CXL-attached memory, storage, and interconnects; assess performance from node to cluster scale, including efficiency, latency, utilization, scalability, and tail behavior.
• Evaluate data placement, migration, prefetching, compression, and tiering approaches for KV cache, model state, and other AI data.
• Build and validate performance models, simulations, traces, and reusable benchmarking tools to forecast future system requirements.
• Lead cross-functional projects and transform outcomes into product requirements, develop recommendations, publications, demonstrations, and customer mentorship
  
  

Minimum Qualifications

• Bachelor's degree with at least 10 years of experience; master's degree with 5 or more years; or Ph.D. with demonstrated experience in a related field.
• Hands-on experience profiling and benchmarking multi-GPU AI systems across single-node and multi-node environments.
• Understanding of transformer workloads, memory behavior, distributed systems, and agentic AI infrastructure.
• Experience with PyTorch, an AI serving platform, Python, and at least one of C, C++, CUDA, or Triton.
• Ability to lead controlled experiments and communicate results to technical and business audiences.
  
  

Preferred Qualifications

• Experience with memory tiering, KV-cache management, or emerging AI workloads.
• Experience with disaggregated infrastructure or performance modeling and simulation.
• Relevant research, patents, open-source contributions, or other substantial technical work.
  
  

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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