6 days ago
Base Salary
$166k - $331k/yr
Responsibilities
- Lead architecture for near-real-time telemetry ingestion, processing, storage, and query across GPUs, hosts, networks, storage, power, cooling, and related supercomputer components.
- Define and validate shared signal contracts and standards for freshness, completeness, correctness, availability, retention, access, and cost at production scale.
- Connect telemetry to common resource identity, topology, and health models covering fleets, clusters, racks, nodes, GPUs, switches, links, dependencies, and blast radius.
- Converge first-party and third-party GPU telemetry into a consistent operational model while accounting for provider-specific data gaps and quality differences.
- Build foundations for AI-assisted anomaly detection, cross-signal correlation, likely-cause analysis, impact assessment, recommendations, and insight-quality evaluation loops.
- Partner with customers, datacenter technicians, service owners, and engineering leads to define secure, role-based operational workflows and views.
- Build dashboards and practical tools that help technicians identify component health, likely fault locations, repair context, and diagnostic next steps.
- Create repair-validation workflows that verify signal changes, component and capacity recovery, and remaining unhealthy conditions.
- Lead technical design reviews, manage cross-team dependencies, establish reusable interfaces and patterns, and guide work from proof of concept through production rollout.
- Define and improve success measures including signal freshness, coverage, diagnosis time, repair time, recovery time, repair-verification latency, repeat repair attempts, and GPU-capacity impact.
- Mentor engineers, influence teams across organizational boundaries, contribute to operational playbooks, and improve the platform through production learning.
Requirements
- Bachelor’s degree in Computer Science or a related technical field and 8+ years of technical engineering experience with coding, or equivalent experience.
- Coding experience in C, C++, C#, Java, JavaScript, or Python.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
- Preferred: master’s degree and 12+ years of experience, or bachelor’s degree and 15+ years of experience, or equivalent experience.
- Experience architecting large-scale telemetry, streaming-data, or observability systems involving ingestion, processing, storage, query, real-time analytics, time-series data, topology or graph models, and fleet-scale visualization.
- Experience leading cross-team technical design and production service delivery with focus on reliability, security, and operational readiness.
- Experience with GPU infrastructure, AI training or inference systems, high-performance computing, or datacenter operations.
- Knowledge of InfiniBand, Ethernet, NVLink, host and accelerator telemetry, and dependencies across compute, networking, storage, and facility systems.
- Experience applying machine learning or AI to operational data for anomaly detection, correlation, root-cause assistance, and insight-quality evaluation.
- Experience integrating telemetry from multiple providers or environments while maintaining common identity, schema, access-control, and data-quality standards.
- Ability to translate complex infrastructure signals into customer-impact information and technician-ready repair workflows with measurable operational improvements.
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.