The Principal Supercomputing Operations Engineer role at Microsoft Azure focuses on overseeing interconnect fabric operations within large-scale AI supercomputing environments. This position requires a hands-on leader who ensures GPU availability and training stability while managing high-severity incidents. The engineer will drive operational excellence and systemic prevention, collaborating with various teams to enhance reliability and performance. This role is pivotal in shaping the future of cloud-scale AI infrastructure.

• Bachelor'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.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• 6+ years of experience operating large-scale distributed systems, high-performance computing (HPC), or artificial intelligence (AI) infrastructure in production environments.
• Strong Linux systems knowledge with experience debugging low-level infrastructure issues across operating systems, drivers, and services.

• Serve as the technical authority and DRI for InfiniBand and GPU interconnect fabric operations across large scale AI supercomputing environments.
• Lead and orchestrate complex, high severity fabric incidents end to end, including detection, triage, mitigation, recovery, and root cause analysis.
• Perform deep, multi layer systems debugging across InfiniBand, Subnet Manager, GPU interconnect, PCIe, GPUs, firmware, drivers, and OS layers.
• Drive operational excellence and systemic prevention by identifying recurring failure patterns and defining reliability models.
• Architect and drive automation, telemetry, diagnostics, and tooling that improve detection, observability, debuggability, and mean time to mitigation.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.