Azure Specialized Compute drives the hardware roadmap, software and services that enable our users to run technical computing workloads in Azure - from batch workloads to AI & machine learning to traditional HPC simulations to remote visualization. We are responsible for providing the most scalable MPI platform as well as the most powerful GPU clusters for our end customers in their quest for finding answers to some of the most difficult questions of science and industry .ResponsibilitiesThis is an exciting time for HPC + AI, as they are undergoing a massive shift. AI technologies are being merged with existing HPC approaches, and both are moving to the cloud. At this critical juncture, we are looking for an individual to be part of our benchmarking initiative. This team member would be responsible for HPC industry standard and customer specific application benchmarks on our latest and greatest hardware offering showcasing the best of Azure. Typical team project would include gathering performance data and characteristics for key HPC applications, analyzing and optimizing the application to run best on Azure HPC infrastructure based on latest GPUs, CPUs and other accelerators. The benchmarking team works closely with Product management, engineering, and is engaged in key customer performance evaluations.
A successful candidate would have experience in experience with running MPI workloads and validation workloads with interest in large scale applications [think supercomputer scale]. Be a self-starter that is willing and able to mentor junior members of the team and provide training to the field team. Finally, the candidate must be coachable and a team player.Qualifications

• Solid understanding of HPC (High Performance Computing) architecture and requirements [processor technology, networks, memory components etc.]
• Solid working knowledge of Linux and able to compile and modify open source HPC codes that typically use C++, MPI, CUDA, Python, and OpenMP.
• Ability to clearly communicate issues and results to stakeholders.
• Experience with scientific/engineering software for HPC systems
• Willingness to take feedback and be a team player.
• Excellent problem-solving skills and analytical ability.
• Master's program or Ph.D completed in Computer Science, Engineering or related fields
• Ability to use CPU and GPU profiling tools to identify bottlenecks in the performance.
• Proficient in one of the following HPC workload managers: PBS, SLURM, or LSF
• Working knowledge of containers including setting up and configuring Docker and Singularity.
• An understanding of the issues affecting HPC application performance.

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Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
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