Principal Program Manager

Advanced Micro Devices, Inc•Seattle, WA

About The Position

AMD is seeking an experienced program manager to own and drive end-to-end AI cluster delivery across the full lifecycle, from solution architecture and planning through NPI validation, internal and external deployments, customer support readiness, and lab capacity execution. The role operates across complex hardware, firmware, software, networking, and datacenter-scale environments and requires analytical, problem-solving, risk-management, and cross-functional leadership skills. The Program Manager partners with architecture, engineering, validation, deployment, customer-facing, and lab operations teams to deliver AI cluster solutions from concept through production readiness. The role helps define customer and platform requirements, establishes integrated execution plans, aligns internal and external stakeholders, and ensures AMD product solution deliverables support cluster bring-up, validation, deployment, and customer lifecycle needs. A bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent is required. This role is not eligible for visa sponsorship or transfer.

Requirements

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
  • Experience managing end-to-end AI cluster delivery programs across multiple lifecycle stages and technical domains.
  • Strong analytical, problem-solving, risk management, and cross-functional leadership skills.
  • Ability to operate effectively in complex hardware, firmware, software, networking, and datacenter-scale environments.
  • Thorough knowledge of program management principles.

Responsibilities

  • Define, plan, and drive end-to-end AI cluster delivery programs spanning solution architecture, platform readiness, validation, deployment, customer support, and lifecycle execution.
  • Apply program management principles to cluster delivery initiatives involving multiple technical domains and stakeholder groups.
  • Lead programs and processes of significant technical and business importance across architecture, engineering, NPI validation, lab operations, deployment, and customer support.
  • Improve execution models, triage workflows, deployment readiness processes, lab capacity planning, and cross-team operating rhythms.
  • Create and maintain integrated schedules, resource and lab capacity plans, deployment plans, validation readiness trackers, risk and issue logs, decision registers, and executive status summaries.
  • Provide program status, dependency mapping, and executive-level visibility across cluster architecture, NPI validation, internal and external deployments, and support readiness.
  • Identify actions, owners, and mitigation plans for technical, schedule, capacity, deployment, and customer-impacting risks.
  • Collaborate with architecture, engineering, validation, deployment, business unit, customer engineering, and lab operations teams to identify issues requiring escalation, corrective action, or executive alignment.
  • Collect, analyze, organize, and publish program performance data through dashboards, recurring status reports, readiness reviews, and deployment health indicators.
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