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As a, you would provide the best practices driving architectural changes. You will also influence the roadmap of relevant software and hardware components. Your work will directly impact on the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI, and HPC in the cloud in general.
At supercomputing scale, novel tools and techniques are needed to maintain the reliability, runtime performance, health of the system and running jobs continuing to meet the expectations of users. The responsibilities of this position would be to use state-of-the-art methods, design, build and validate novel tools, find operational gaps and instrument features to achieve the smooth operation of cloud-native supercomputers.
Required Qualifications:
Other Requirements:
Preferred Qualifications:
You will join a team of engineers and researchers with experience in high performance computing infrastructure, acutely familiar with the behavior of bulk synchronous loads in large scale systems, middleware, and software. The following values drive us:
Your mission will be to help ensure the Azure platform is consistent on power, performance, can scale on-demand, and engineered to withstand unparalleled computing demand from the customer workloads. You will help build a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality. In addition to the below responsibilites:
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