AI Cluster Technical Program Manager – Validation, Debug & Agentic AI
Core
Lead end-to-end execution of AI cluster engineering programs, focusing on GPU platform validation, rack bring-up, scale testing, and failure analysis to ensure readiness for hyperscale deployments.
Role type
Senior Technical Program Manager (Hardware/AI Infrastructure)
Builds
GPU-based AI platforms, rack-level solutions, and cluster-scale validation environments
Domain
Semiconductor, High-Performance Computing (HPC), AI Infrastructure
Deliverable
production ML models
Required skills
Program management, GPU system architecture, Rack-level integration, Failure analysis, Cross-functional leadership, Risk management, Debug execution, Executive reporting
Preferred skills
GPU cluster scale testing, Rack bring-up, Hardware/firmware debug cycles, Fleet-scale validation, Infrastructure observability
Technologies
Jira, Confluence, Excel, PowerPoint
Responsibilities
Define and drive program plans for AI infrastructure validation; Own execution for GPU-based AI platforms from bring-up to deployment; Lead multi-node/multi-rack scale testing and readiness gates; Act as execution lead for platform debug and failure analysis; Champion Agentic AI and AIOps solutions for automated incident triage and workflow automation.
Seniority
Senior, hands-on IC
