Technical Program Manager, Supercomputing Infrastructure and Operations

We are seeking a Technical Program Manager (TPM) to help deliver the next generation of High-Performance Computing (HPC) and AI Infrastructure – driving programs that bring together cutting-edge hardware, software and datacenter operations. 

As a TPM, you will work across hardware, engineering, software systems, supply chain and data center delivery teams to manage schedules, track dependencies, and ensure operational readiness for AI cluster deployments. This role is ideal for individuals who are technically curious, highly organized, and eager to grow within a fast-paced environment at the forefront of AI innovation. 

Responsibilities:  

Program Delivery and Execution:  

• 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. 

Technical Collaborations:  

• 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. 

Stakeholder Communication:  

• Build clear and consistent communication channels between hardware, software, finance and data center constructions stakeholders. 
• Document best practice, lessons learned, and workflow improvements. 

Qualifications: 

Required Qualifications 

• Bachelor’s degree in computer science, Electrical/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 (GPU, CPU, accelerators, networking, and storage) 

• Excellent organizational and analytical skills; ability to manage multiple workstreams. 

• Proficiency with project management tools (Excel, Power BI, Project, JIRA, or Smartsheet). 

Preferred Qualifications 

• Familiarity with AI/ML workloads, distributed training, or HPC scheduling (e.g., Slurm, Kubernetes). 

• Experience supporting hardware deployment or system integration in datacenter or lab environments. 

• Understanding of Microsoft Azure Servies, particularly Compute, Networking, and AI Infrastructure. 

• Stronge communication and stakeholder management skills across technical and non-technical audiences. 

 

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.