Job Description:
Microsoft Azure’s Artificial Intelligence and High Performance Computing (AI/HPC) organization powers some of the world’s largest cloud native supercomputers used for frontier AI training, scientific computing, and large scale distributed simulations. Our team builds and operates hyperscale GPU clusters that consistently place Azure among global leaders in the Top500, MLPerf, and Graph500 benchmarks. By joining us, you step into the engineering core responsible for ensuring these systems remain reliable, performant, and ready for the next wave of AI innovation. At this scale, interconnect fabrics are a first order reliability system that directly determines GPU availability, training throughput, and customer SLAs. As a Principal Supercomputing Operations Engineering Manager, you own the operational strategy and organizational execution for interconnect fabric reliability across flagship AI supercomputing environments. You lead teams that operate InfiniBand and GPU interconnect fabrics as a single end to end reliability domain, defining how they are operated, debugged, hardened, and scaled in production. This is a hands on technical leadership role combined with people and operational management. You are accountable not only for technical outcomes, but for building and leading high performing engineering teams that consistently deliver availability, correctness, and resilience under extreme scale and ambiguity. You set expectations, drive execution through others, and ensure your team is prepared to respond decisively to the most complex production failures. You lead and oversee the most severe fabric related incidents, guiding technical direction, escalation strategy, and risk trade offs while empowering senior engineers to execute deep investigations. Beyond incident response, you define operational strategy, reliability models, and systemic prevention mechanisms that reduce recurrence at fleet scale. Your impact multiplies through organizational leadership: developing talent, setting operational standards, influencing engineering direction across organizations, and partnering deeply with platform, hardware, firmware, and service teams to deliver durable reliability improvements. You are responsible for ensuring that your organization produces high quality automation, diagnostics, telemetry, playbooks, and escalation models that materially improve operability and debuggability across the platform. Through your leadership, judgment, and technical direction, Azure’s largest AI supercomputing platforms scale safely, predictably, and sustainably to meet the demands of next generation AI workloads.
