Technical Program Manager, Supercomputing Infrastructure and Operations

Microsoft AI•Mountain View, CA
•$142,800 - $304,200

About The Position

Microsoft is seeking a Technical Program Manager to help deliver the next generation of high-performance computing (HPC) and AI infrastructure. The role brings together hardware, software, and datacenter operations, coordinating programs that support AI cluster deployments. The TPM works across hardware, engineering, software systems, supply chain, and data center delivery teams to manage schedules, dependencies, and operational readiness. The role supports AI and HPC infrastructure programs from design through deployment, including cross-functional coordination, executive reporting, and technical collaboration with engineering teams. The position is suited to someone who is technically curious, highly organized, and interested in working in a fast-paced AI environment.

Requirements

  • Bachelor’s degree in computer science, Electrical or Mechanical Engineering, or a related STEM field.
  • 5–7 years of experience in technical program management, engineering operations, or datacenter project coordination.
  • Strong understanding of computer infrastructure, including GPUs, CPUs, accelerators, networking, and storage.
  • Excellent organizational and analytical skills, with the ability to manage multiple workstreams.
  • Proficiency with project management tools such as Excel, Power BI, Project, JIRA, or Smartsheet.

Nice To Haves

  • Familiarity with AI/ML workloads, distributed training, or HPC scheduling tools such as Slurm or Kubernetes.
  • Experience supporting hardware deployment or system integration in datacenter or lab environments.
  • Understanding of Microsoft Azure services, particularly Compute, Networking, and AI Infrastructure.
  • Strong communication and stakeholder management skills across technical and non-technical audiences.

Responsibilities

  • Support planning and execution of AI and HPC infrastructure programs from design through deployment.
  • Track program milestones, schedules, risks, and dependencies across hardware, software, and operations.
  • Drive cross-functional coordination and maintain alignment across partner teams.
  • Manage weekly program syncs and executive reporting through dashboards, trackers, and scorecards.
  • Partner with MAI engineering teams to understand compute, GPU, and interconnect requirements for AI workloads.
  • Support configuration management, validation testing, and performance benchmarking for HPC systems.
  • Help define and manage MAI POR, capacity forecasts, and system readiness metrics.
  • Build clear and consistent communication channels between hardware, software, finance, and data center construction stakeholders.
  • Document best practices, lessons learned, and workflow improvements.
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