Technical Program Manager – AI Infrastructure / GPU Clusters
UST (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 12–25 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end deployment and delivery of AI GPU cluster infrastructure including hardware, networking, and system integration for production readiness.
- Coordinate across multiple teams: Infrastructure Solution Architects, network engineers, hardware vendors, contractors, and data center operations to meet delivery timelines and ensure operational readiness.
- Drive cluster validation and performance testing, manage on-site deployment activities, and ensure clusters are ready for production workloads with proper documentation and monitoring integration.
Minimum Requirements
- 5+ years of experience in Technical Program Management, Infrastructure Program Management, or HPC infrastructure delivery.
- Experience with GPU cluster deployments or high-performance computing environments, including familiarity with GPU server architecture and distributed computing infrastructure.
- Experience managing data center hardware deployments, system integration, and coordinating multi-vendor infrastructure projects across regions.
- Work Experience Required: 5+ years (explicitly mentioned)
Ideal Candidate Profile
- Someone with experience collaborating closely with Infrastructure Solution Architects to define system architecture, GPU server selection, network and storage integration, and cluster BOM preparation.
- Candidate with proven ability to manage complex, large-scale AI infrastructure deployment projects involving multiple vendors and cross-functional teams in hyperscale or cloud data center environments.
- Familiarity with GPU cluster technologies including high-speed networking (InfiniBand/RoCE), cluster validation, benchmarking, and deployment in AI or HPC data center contexts likely to succeed.