Microsoft Senior Supercomputing Engineer 

United States 

99395257

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical or scientific field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
• 3+ years of experience in operating AI/HPC systems, developing and running AI/HPC applications on clusters, or operating Cloud Infrastructure
• 2+ years of specialized experience with one of AI/HPC system management OR High-Speed Networks OR HPC Storage OR managing Cloud Infrastructure

Other Requirements:

• 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.

Preferred Qualifications:

• Master’s 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
• Experience with Cloud Computing, Virtualization and Container Technologies
• Familiarity with the HPC software stack

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Be part of a comprehensive systems management team focused on operational excellence and customer success
• Build tools and analyze key system metrics and telemetry to proactively identify and debug HPC system issues
• Partner with customers, vendors, and other teams within Azure to drive comprehensive solutions for operating world class Supercomputers in the public cloud environment
• Help ensure Azure platform is consistent on performance, can scale on-demand, and engineered to withstand the unparalleled computing demand from the customer workloads
• Contribute to a test-driven engineering culture to reduce regressions and bugs in production and will set a higher bar for infrastructure quality
• Embody our