Principal Software Engineer at Microsoft · USA · Joined
M
Principal Software Engineer
Microsoft · USA · 1h ago · 0 applicants
NewRemoteFull-timeLead
Pay
$166k–$331kListed
Workplace
Remote
Job type
Full-time
Level
Lead
Team: HPC/AI · Source: builtin · Posted by joined-scrapper
About the role
Microsoft seeks a Principal Software Engineer to architect an end-to-end observability platform for its HPC/AI supercomputer fleet, enabling near-real-time telemetry, AI-assisted diagnostics, and fast repair workflows to improve GPU utilization and service reliability.
What you’ll do
Lead architecture for near-real-time telemetry ingestion, processing, storage, and query across GPU supercomputer components.
Define shared signal contracts and measurable standards for freshness, correctness, availability, and cost.
Connect telemetry to a common resource identity, topology, and health model for fleet-to-component navigation.
Drive convergence of first-party and third-party GPU telemetry into a consistent operational model.
Build foundations for AI-assisted anomaly detection, correlation, and likely-cause analysis.
Create tools and dashboards for datacenter technicians to surface component health and repair validation.
What you’ll need
Bachelor's Degree in Computer Science or related field and 8+ years coding experience, or equivalent.
Ability to pass Microsoft Cloud Background Check upon hire and every two years.
Experience architecting large-scale telemetry, streaming-data, or observability systems.
Experience leading cross-team technical design and delivery of production services.
Experience with GPU infrastructure, AI training/inference, or datacenter operations.
Knowledge of InfiniBand, Ethernet, NVLink, and host/accelerator telemetry.
Benefits
Offers 401(K)Offers health insuranceOffers dental insuranceOffers vision insuranceProvides family medical leaveOffers company equity and employee stock purchase plan
Original job description
OverviewThe HPC/AI (High Performance Computing and Artificial Intelligence) team is building the infrastructure that powers large-scale AI training and inference. As supercomputers grow across first-party (1P) and third-party (3P) GPU capacity, we need a consistent, trusted view of their health and operational state. We are seeking an AI Supercomputer…