About The Position

In Azure Specialized we are collaboratively working to bring the next generation of workloads to our Public Cloud platform. We work together across Microsoft to enable end to end new scenarios for Azure customers. Our team imagines and builds differentiating customer features and fundamental building blocks at the heart of the Azure platform working collaboratively with many industry partners. As a Principal Software Engineer, you will be critical in designing and delivering the next generations of AI training, AI inferencing, virtual desktop, video and gaming infrastructure for Azure. You will be challenged across a wide spectrum of hardware architectures, network types and processor types. You will define and drive an end-to-end vertical view, defining approaches and strategies across large organizations with continuous focus on customer value, quality, performance and automation. This position involves deep technical work, focusing on defining, deploying and sustaining hardware and software Azure infrastructure for AI and other GPU-based workloads. The work for this position focuses on hardware/software interaction, coding and playing with next-gen hardware, end-to-end systems engineering anywhere in the infrastructure - from fiber networking, switches, GPU differentiation, rack design, cluster design and more. This position offers a unique opportunity to have a huge impact on customers and the world. It is an exciting time for the team as we are working on expanding the capacity and range of supported scenarios to support the next 100X growth.

Requirements

  • Deep technical expertise in hardware architectures and network types.
  • Experience with processor types and GPU-based workloads.
  • Strong coding skills and experience with next-gen hardware.
  • Ability to define and implement strategies across large organizations.
  • Experience in systems engineering and infrastructure design.

Responsibilities

  • Design and deliver next generations of AI training and inferencing infrastructure.
  • Work on virtual desktop, video, and gaming infrastructure for Azure.
  • Define and drive end-to-end vertical view across large organizations.
  • Focus on customer value, quality, performance, and automation.
  • Define, deploy, and sustain hardware and software Azure infrastructure for AI and GPU-based workloads.
  • Engage in hardware/software interaction and coding.
  • Work on end-to-end systems engineering across various infrastructure components.
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