Technical Program Manager, HPC (AI)

Location: Mountain View, California, United States

Salary: USD $142,800–$274,800 per year across the U.S.; USD $188,000–$304,200 per year in the San Francisco Bay Area and New York City metropolitan area.

Company

Microsoft AI builds frontier models and products, supported by large-scale infrastructure for pretraining, post-training, evaluation, and launch.

What you will do

• Own end-to-end programs for HPC production health, operational readiness, cluster availability, reliability, and service performance.
• Establish operating mechanisms covering cluster health, SLA/SLO reviews, NIS/RIS tracking, incident trends, risks, dependencies, and corrective actions.
• Coordinate critical incident triage, escalation, mitigation, stakeholder communication, root-cause analysis, and follow-through across HPC and Azure teams.
• Identify recurring reliability patterns and drive durable engineering and operational improvements.
• Build cross-functional partnerships across compute, networking, storage, capacity, datacenter, and platform teams to resolve dependencies and establish escalation paths.
• Define operational metrics and dashboards, manage production risks, and communicate health, incidents, risks, and trade-offs to leadership.

Requirements

• Significant experience in technical program management, infrastructure engineering, production operations, site reliability, or large-scale distributed systems.
• Demonstrated experience delivering complex cross-functional programs across multiple engineering organizations.
• Technical fluency in large-scale infrastructure, including HPC, compute, accelerators, networking, storage, schedulers, capacity, telemetry, or distributed systems.
• Experience driving production incident management, including escalation, mitigation, root-cause analysis, and corrective actions.
• Experience with SLAs, SLOs, availability metrics, and production-health indicators.
• Ability to use operational data and incident trends to identify systemic problems and drive reliability improvements.
• Strong ability to build relationships and influence engineering teams across organizational boundaries.
• Excellent written and verbal communication skills, including the ability to translate complex technical issues into clear risks, decisions, and actions.

Nice to have

• Experience supporting GPU- or accelerator-based HPC/AI infrastructure at scale.
• Experience with cloud infrastructure spanning compute, networking, storage, capacity, or datacenter operations.
• Experience establishing reliability programs, operational scorecards, health dashboards, or incident-management mechanisms for large infrastructure environments.

Culture & Benefits

• Cross-functional collaboration with HPC engineering, platform, networking, storage, capacity, datacenter, and Azure teams.
• Benefits and other compensation may be available depending on the role.
• The position is open for a minimum of five days, with applications accepted until filled.