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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.
JR48476 Principal AI Workload Storage Performance Engineer
AI Workload Storage Performance Engineer
The emergence of Artificial Intelligence is inspiring changes in storage system architectures within data centers. A re-design of storage systems to utilize flash based media and other advanced non-volatile memory technologies has begun. Micron SSD Systems Architecture is looking for an engineer to help our Data Center Workload Engineering team characterize flash-based media for AI applications and storage systems. If you are a hands-on problem solver who has an aptitude for learning new technologies, we want to talk to you. Initiative, passion and leadership skills are valued in your day to day work.
Micron has long been a leader in DRAM and Flash memory, and we are at the forefront of emerging technologies such as CXL. We are well-positioned to lead the storage revolution that will allow customers to experience the full benefit of these exciting memory technologies.
Roles and Responsibilities
Design, develop, and deploy AI solutions that simulate customer environments – Specific focus around the characterization of training and inference workloads like DLRM, Image Segmentation, Large Language Models, and Generative AI
Collect and analyze storage traces of AI workloads, uncovering and classifying unique IO behavior.
Devise and implement suitable benchmarking strategies, drawing from industry standards, and field feedback
Automate and expand existing benchmarking capabilities to improve efficiency and repeatability
Demonstrate skills at instrumenting and measuring application workload requests, analyze storage solution I/O activity down to SSD devices and monitor system resource utilization
Analyze system level bottlenecks and solve issues involving virtualization technologies, distributed storage architectures, and complex application workload environments
Interpret findings and results, summarizing into standard methodologies, white papers, and presentations to help SSD engineering understand unique AI workload requirements
Work with multi-functional teams and key partners to deliver prescriptive guidance documents to position our storage products in premier application environments
Drive continuous improvement feedback to Micron product development organizations
Improve efficiency by automating solution deployment, benchmark tests and related procedures
Meet project schedules with a high degree of fidelity
Present technical content at key industry events
Knowledge and Skills:
Understanding of emerging AI workloads and their impact and requirements on system architecture
Expert understanding of Python
Experience with hypervisors and SDS stacks: VMware ESX, VSAN, Microsoft Hyper-V, Azure Stack HCI, Ceph, Docker, Linux Containers
Synthetic I/O characterization and related tools – IOMeter, vdbench, FIO, Blktrace, etc.
Operating systems and associated internal storage stacks: Microsoft, VMware, Linux
IP network design and deployment: VLAN, RoCE, Infiniband
Familiarity with and knowledge of Solid State Drives and related technologies
Experience in Data Center SSD validation is a plus
Excellent oral and written communication skills
Education:
A bachelor's or master's degree and 5+ years relevant engineering experience.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor 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
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