AI Cluster Technical Program Manager, Validation, Debug & Agentic AI

What you'll do

• Manage end-to-end execution of AI cluster engineering programs including GPU platform integration and rack bring-up.
• Develop and maintain program artifacts such as schedules, dependency maps, risk logs, and executive status reports.
• Coordinate across hardware, firmware, and networking teams to ensure readiness for scale testing and customer workloads.
• Lead multi-node and multi-rack scale testing including test strategy, coverage tracking, and infrastructure readiness gates.
• Drive system-level debug activities to perform root-cause analysis on GPU, network, and firmware failures.
• Manage critical deployment incidents by leading cross-functional war rooms and establishing operational metrics like MTTR.
• Implement Agentic AI and AIOps solutions to automate incident triage, log analysis, and operational workflows.

What we're looking for

• Bachelor's or master's degree in systems, EE, CS, or a related engineering discipline.
• PMP, Scrum Master, or equivalent program management training.
• Experience leading complex hardware or AI infrastructure programs through bring-up, validation, and deployment phases.
• Strong technical understanding of GPU-based AI systems, rack architectures, and datacenter infrastructure.
• Proven ability to manage ambiguity, drive debug execution, and lead cross-functional teams without direct authority.
• Proficiency with program management tools such as Jira, Confluence, dashboards, Excel, and PowerPoint.
• Strong written and verbal communication skills for executive-level status reporting.