A

AMD

Designs chips for computers and AI systems

Principal Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
  • Strong analytical and problem-solving skills, risk management capability, 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 and their application across cluster delivery initiatives involving multiple technical domains and stakeholder groups.

Responsibilities

  • Define, plan, and drive end-to-end AI cluster delivery programs spanning solution architecture, platform readiness, validation, deployment, customer support, and lifecycle execution.
  • Own programs and processes of significant technical and business importance, with execution results crossing architecture, engineering, NPI validation, lab operations, deployment, and customer support.
  • Initiate and drive improvements to execution models, triage workflows, deployment readiness processes, lab capacity planning, and cross-team operating rhythms to improve delivery efficiency and predictability.
  • 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 deployments, external/customer deployments, and support readiness.
  • Identify actions, owners, and mitigation plans for technical, schedule, capacity, deployment, and customer-impacting risks throughout the cluster delivery lifecycle.
  • Collaborate with architecture, engineering, validation, deployment, business unit, customer engineering, and lab operations teams to identify areas 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.
  • Partner with architecture, engineering, validation, deployment, customer-facing, and lab operations teams to deliver complex AI cluster solutions from concept through production readiness.
  • Help define customer and platform requirements, establish integrated execution plans, align internal and external stakeholders, and ensure product solution deliverables support cluster bring-up, validation, deployment, and customer lifecycle needs.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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