AI Workload Storage Performance Engineer
2 weeks ago
Transforming Storage Systems for AI
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence. We are seeking an engineer to help our Data Center Workload Engineering team characterize flash-based media for AI applications and storage systems.
Key Responsibilities:
- Design, develop, and deploy AI solutions that simulate customer environments.
- 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.
Requirements:
- 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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