Microsoft Azure Artificial Intelligence High Performance Computing team is looking for a systems engineers to enable customers in deploying, monitoring, profiling, and debugging their applications on hyperscale cloud infrastructure. Azure is enabling the largest supercomputing deployments to tackle complex computational problems in public cloud, evident from the various High Performance Computing (HPC) Stock Keeping Units (SKU) that have already made the mark on Top500, MLPerf and Graph500 rankings.
We are looking for a Principal Artificial Intelligence (AI) Software Engineer who would also bring to the table establishing best practices drive architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact business goals of a wide range of users and facilitate the next wave of growth and innovation in Artificial Intelligence, and High Performance Computing (HPC) in the cloud in general. We are looking for a Principal Artificial Intelligence Software Engineer who is committed to quality, wants the customer to succeed and get things done. You will join a phenomenal team of dedicated engineers and researchers with deep experience in high performance computing, machine learning, deep learning, middleware, and software engineering.
At this supercomputing scale, we need specialized tools and techniques to maintain the reliability, runtime performance, health of the system and running jobs continuing to meet the Service Level Agreements of users. Your job would be to use the state-of-the-art tools and techniques, find operational gaps and instrument features to achieve the smooth operation of cloud-native supercomputers.
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