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This role serves as the debug execution backbone of AMD’s Customer Program Management organization, driving complex silicon, system, and fleet-level issues to resolution across all major customer segments. The Debug Program Manager plays a critical role in ensuring customer success, product quality, and large-scale deployment confidence through disciplined, end‑to‑end debug execution. This is a high-visibility, high-impact position requiring deep technical expertise and strong cross-functional program leadership.
Job Responsibility:
Debug Program Leadership - Lead debug execution across hyperscale, OEM, HPC, and enterprise customer programs. Own high‑impact, cross‑customer and systemic issues and maintain visibility into top risks and trends.
Customer Program Integration - Partner with Customer Program Managers to align debug execution with customer deliverables, platform readiness, and deployment schedules. Support escalations and executive‑level customer engagements.
Technical Debug Coordination - Drive cross‑functional debug efforts across design, validation, product engineering, and failure analysis. Align pre‑ and post‑silicon debug strategies and connect lab debug to real‑world customer environments.
Field Failure & Fleet Quality Management - Lead resolution of field failures, fleet anomalies, and data center reliability issues. Aggregate fleet, RMA, and production signals and feed learnings back into design, validation, and manufacturing.
Governance & Process Improvement - Own debug tracking, prioritization, risk management, and executive reporting. Apply structured methodologies (8D, CAPA, FMEA) and drive continuous improvement in execution speed and consistency.
Requirements:
12+ years of experience in the semiconductor industry
Deep hands-on experience with silicon debug (pre‑silicon and post‑silicon)
Strong background in product engineering, validation, failure analysis, or customer engineering
Proven experience managing complex debug programs across multiple customer segments
Strong program management skills with ability to drive execution across global, cross-functional teams
Excellent written and verbal communication skills, including executive-level engagement
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field required
Nice to have:
Experience supporting data center, hyperscale, OEM, HPC, or enterprise AI deployments
Deep understanding of data center system architecture (CPU, GPU, memory, I/O, RAS, hotplug)
Familiarity with manufacturing and test flows
Knowledge of reliability and quality metrics (yield, DPM, FIT)