В Microsoft AI это чётко очерченная роль на стыке востребованных AI- и суперкомпьютерных инфраструктурных проектов, с заметной работой на стыке команд и подробным списком обязанностей.
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Понятные задачиНа волне AIСильная компания
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Technical Program Manager, Supercomputing Infrastructure and Operations (AI Infrastructure): Delivering AI and HPC infrastructure programs from design through deployment with an accent on cross-functional execution, compute systems, and operational readiness. Focus on managing hardware and software dependencies, validating GPU-based systems, forecasting capacity, and coordinating datacenter deployments.
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 develops AI systems and infrastructure, including high-performance computing environments and AI datacenter deployments.
What you will do
Plan and execute AI and HPC infrastructure programs from design through deployment.
Track milestones, schedules, risks, dependencies, capacity forecasts, and system-readiness metrics across hardware, software, supply chain, and datacenter operations.
Manage weekly program syncs, executive reporting, dashboards, trackers, and scorecards.
Support configuration management, validation testing, performance benchmarking, and operational readiness for AI cluster deployments.
Document best practices, lessons learned, and workflow improvements.
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, Microsoft Project, JIRA, or Smartsheet.
Nice to have
Familiarity with AI/ML workloads, distributed training, or HPC scheduling with tools such as Slurm or Kubernetes.
Experience supporting hardware deployment or system integration in datacenter or laboratory environments.
Understanding of Microsoft Azure services, particularly Compute, Networking, and AI Infrastructure.
Strong communication and stakeholder management skills across technical and non-technical audiences.
Culture & Benefits
Work across hardware, engineering, software systems, supply chain, finance, and datacenter delivery teams.
Participation in programs involving AI innovation, HPC systems, and next-generation infrastructure.
Certain roles may be eligible for benefits and other compensation.
Microsoft is an equal opportunity employer.
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