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About the role

Principal Supercomputing Software Engineer at Microsoft

Required Skills

pythonc++ai/hpccloud infrastructurehigh-speed networkshpc storagecontainer technologiessystem management

About the Role

Principal Supercomputing Software Engineer role at Microsoft Azure AI/HPC team, focusing on building tools for reliable and performant cloud-native supercomputers. Responsibilities include system management, debugging, and driving architectural changes to support AI and HPC workloads.

Key Responsibilities

  • Be part of a comprehensive systems management team focused on operational excellence and customer success
  • Analyze key system metrics and telemetry to proactively identify and debug HPC system issues, build appropriate tooling, help develop processes and ensure that solutions are responsive to emerging user needs
  • Partner with customers, vendors, and other teams within Azure to drive comprehensive solutions for operating world class Supercomputers in the public cloud environment
  • Ensure that the Azure platform is performant, scalable and resilient
  • Foster test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality

Required Skills & Qualifications

Must Have:

  • Bachelor's Degree in Computer Science or related technical or scientific field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 5+ years of experience in operating AI/HPC systems, developing and running AI/HPC applications on clusters, or operating Cloud Infrastructure
  • 3+ years of specialized experience with one of AI/HPC system management OR High-Speed Networks OR HPC Storage OR managing Cloud Infrastructure
  • Ability to meet Microsoft, customer and/or government security screening requirements, including Microsoft Cloud Background Check

Nice to Have:

  • Masters' Degree or PhD in Computer Science or related technical or scientific field
  • Operational experience running large scale HPC systems or infrastructure situated in Cloud environments
  • Previous experience with running and troubleshooting machine learning workloads on GPU-based HPC systems
  • Expertise in Cloud Computing, Virtualization and Container Technologies
  • Familiarity with the HPC software stack

Benefits & Perks

  • Industry leading healthcare