Senior Software Engineer

Microsoft is the employer behind Azure’s Artificial Intelligence and High-Performance Computing organization. The Senior Software Engineer role focuses on operating hyperscale GPU clusters and interconnect fabrics, leading incident response, debugging complex infrastructure failures, and improving reliability through automation, telemetry, and operational tooling.

Responsibilities:

• Act as the DRI for supercomputing clusters and GPU compute and interconnect fabric operations, ensuring GPU availability, service reliability, and AI training stability
• Lead incident triage, mitigation, recovery, and root cause analysis for compute and fabric-related production issues across large-scale AI infrastructure
• Perform deep, cross-stack debugging spanning hardware provisioning, GPU interconnect fabric, PCIe subsystems, and GPU interactions to identify and resolve complex failures
• Drive operational excellence by identifying systemic failure patterns and developing technical guidance, troubleshooting procedures, playbooks, and escalation frameworks
• Design and leverage automation, telemetry, and diagnostic tooling to improve issue detection, observability, debuggability, and mean time to mitigation (MTTM)

Requirements:

• • Bachelor's Degree in Computer Science or related technical 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
• • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
• • 4+ years of experience operating high performance computing (HPC), artificial intelligence (AI), or largescale distributed systems in production environments
• • 1+ years experience operating interconnect fabrics for HPC, AI, or largescale distributed systems in production
• • Linux systems knowledge with demonstrated experience debugging low level infrastructure issues
• • Demonstrated ability to reason across hardware, firmware, drivers, and software stacks to diagnose and resolve production issues