8 hours ago
Base Salary
$166k - $331k/yr
Responsibilities
- Lead architecture for near-real-time telemetry ingestion, processing, storage, and query across supercomputer components.
- Define shared signal contracts and standards for freshness, completeness, correctness, availability, retention, access, and cost, and validate pipelines at production scale.
- Connect telemetry to common resource identity, topology, and health models covering fleets, clusters, racks, nodes, GPUs, switches, and links.
- Converge first-party and third-party GPU capacity telemetry into a consistent operational model while accounting for provider-specific differences.
- Build foundations for anomaly detection, cross-signal correlation, likely-cause analysis, impact assessment, and actionable recommendations.
- Create secure, role-based workflows, dashboards, and diagnostic tools for customers, operators, and datacenter technicians.
- Develop repair-validation loops that confirm component recovery, affected capacity recovery, and remaining unhealthy signals.
- Lead design reviews, manage cross-team dependencies, establish reusable interfaces, and guide proof-of-concept through production rollout.
- Define and improve success measures including diagnosis time, repair time, repair-verification latency, recovery time, and GPU utilization.
- Mentor engineers, influence teams across organizational boundaries, and improve operational playbooks based on production learning.
Requirements
- Bachelor's degree in Computer Science or a related technical field and 8+ years of technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred experience architecting large-scale telemetry, streaming-data, or observability systems involving ingestion, processing, storage, querying, real-time analytics, time-series data, topology or graph models, and fleet-scale visualization.
- Preferred experience leading cross-team technical design and delivery of production services with attention to reliability, security, and operational readiness.
- Preferred experience with GPU infrastructure, AI training or inference systems, high-performance computing, or datacenter operations.
- Preferred knowledge of InfiniBand, Ethernet, NVLink, host and accelerator telemetry, and dependencies across compute, networking, storage, and facility systems.
- Preferred experience applying machine learning or AI to operational data for anomaly detection, correlation, root-cause assistance, and insight-quality evaluation.
- Preferred experience integrating telemetry from multiple providers or environments while maintaining common identity, schema, access-control, and data-quality standards.
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.