This role pays more than
63%
of similar roles. Most pay
$174,950–$222,226
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
644 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
Senior Technical Program Manager, HPC joins the Microsoft AI team to drive the operational health and reliability of high-performance computing infrastructure. This role focuses on ensuring production clusters remain available and ready to support demanding AI workloads by establishing operating mechanisms for cluster health, tracking service-level objectives, and managing critical incidents. The individual will coordinate cross-functional efforts across networking, storage, capacity, datacenter, and Azure teams to resolve dependencies and implement systemic fixes based on incident trends. Key responsibilities include defining operational metrics, managing production risks, and facilitating root-cause analysis. The role requires technical fluency in HPC, compute, accelerators, schedulers, and distributed systems. Candidates must possess experience in infrastructure engineering or site reliability to manage the complex interplay between hardware components and software layers within a large-scale high-performance computing environment.
What does a Technical Program Manager earn?
Median $191568 from 159 postings across 35 companies.
Manage end-to-end programs for HPC production health, availability, and reliability.
Establish operating mechanisms to track cluster health, service level objectives, and infrastructure risks.
Lead coordinated responses for critical incidents including triage, escalation, and root-cause analysis.
Identify recurring reliability patterns and translate them into durable engineering improvements.
Build cross-functional partnerships across networking, storage, and datacenter teams to resolve dependencies.
Develop and track operational metrics and dashboards to provide visibility into cluster performance.
Proactively identify and mitigate production risks before they become critical blockers.
Communicate production health, major incidents, and risk trade-offs to leadership.
What we're looking for
Significant experience in technical program management, infrastructure engineering, production operations, site reliability, or large-scale distributed systems.
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 working 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 to translate complex technical issues into clear risks and actions.
Experience supporting GPU or accelerator-based HPC/AI infrastructure at scale (preferred).
Experience with cloud infrastructure spanning compute, networking, storage, capacity, or datacenter operations (preferred).
Experience establishing reliability programs, operational scorecards, health dashboards, or incident-management mechanisms for large infrastructure environments (preferred).
Technical Program Management
Data Center Infrastructure
Cloud Infrastructure
Risk Management
Product Development
Data Analysis
Debugging
Supplier Management
ODMs
SIs
IHVs
Quantum Computing
Azure
Agile
Cryoelectronics
High-Performance Computing
Artificial Intelligence
Firmware
Control Systems
ASICs
Data Analysis
Copilots
Generative AI
Risk Management
Azure
Cloud Infrastructure
Data Analysis
Distributed Systems
Datacenter Infrastructure
Technical Program Management
Product Development
Risk Management
Scalability
Infrastructure Management