Staff/Principal AI Workload Storage Performance Engineer

2 months ago

Bengaluru, India Micron Full time

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 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.

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