Staff/Principal AI Workload Storage 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.JR48476 Staff/Principal AI Workload Storage Performance EngineerAI Workload Storage Performance EngineerThe 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 ResponsibilitiesDesign, 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 AICollect 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 feedbackAutomate and expand existing benchmarking capabilities to improve efficiency and repeatabilityDemonstrate skills at instrumenting and measuring application workload requests, analyze storage solution I/O activity down to SSD devices and monitor system resource utilizationAnalyze system level bottlenecks and solve issues involving virtualization technologies, distributed storage architectures, and complex application workload environmentsInterpret findings and results, summarizing into standard methodologies, white papers, and presentations to help SSD engineering understand unique AI workload requirementsWork with multi-functional teams and key partners to deliver prescriptive guidance documents to position our storage products in premier application environmentsDrive continuous improvement feedback to Micron product development organizationsImprove efficiency by automating solution deployment, benchmark tests and related proceduresMeet project schedules with a high degree of fidelityPresent technical content at key industry eventsKnowledge and Skills:Understanding of emerging AI workloads and their impact and requirements on system architectureExpert understanding of PythonExperience with hypervisors and SDS stacks: VMware ESX, VSAN, Microsoft Hyper-V, Azure Stack HCI, Ceph, Docker, Linux ContainersSynthetic I/O characterization and related tools – IOMeter, vdbench, FIO, Blktrace, etc.Operating systems and associated internal storage stacks: Microsoft, VMware, LinuxIP network design and deployment: VLAN, RoCE, InfinibandFamiliarity with and knowledge of Solid State Drives and related technologiesExperience in Data Center SSD validation is a plusExcellent oral and written communication skillsEducation:A bachelor’s or master’s degree and 5+ years relevant engineering experience.