Director, Technical Program Management - Global Cluster Engineering

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The Role

AMD's Global Cluster Engineering (GCE) team designs, validates, and deploys large-scale AI compute clusters that power some of the world's most demanding workloads. We are hiring a Director of Technical Program Management to lead a portfolio of complex engineering, validation, and next-generation platform development spanning cluster architecture, deployment, lifecycle operations, and supply chain execution.

The Person

This leader will drive end-to-end delivery-from roadmap and requirements through build readiness, procurement execution, factory testing, datacenter bring-up, and steady-state operations - while accelerating outcomes through supply chain automation and product development (tools, platforms, and data products that improve planning, predictability, and cost).

Key Responsibilities

Program & Portfolio Leadership

• Own a multi-year program portfolio for global cluster initiatives (new cluster builds, cluster validation and operational excellence), including critical milestones, dependencies, risk management, and executive reporting.
• Establish program governance (operating rhythms, QBRs, escalation paths, decision logs) across engineering, operations, finance, procurement, and suppliers.

Integration & Execution

• Lead end-to-end supply chain planning and execution for cluster infrastructure: server/GPU platforms, networking, storage, racks, power/cooling, spares, and long-lead components.
• Drive build readiness and NPI-style execution: BOM maturity, , lead-time management, contract manufacturer alignment, and deployment sequencing.
• Partner with sourcing/procurement to optimize cost, availability, and resiliency across suppliers, balancing time-to-deploy with design and qualification constraints.

Product Development

• Build and scale supply chain product automation for cluster delivery: forecasting, allocation, inventory visibility, exception management, and ETA/lead-time prediction.
• Own "product-like" delivery of internal platforms and tools (dashboards, APIs, workflow automation, digital-twin planning models) that improve supply chain decisions and reduce manual overhead.
• Define KPIs and data products for planning accuracy, schedule predictability, cost-to-serve, inventory health, and deployment velocity.

Cross-Functional Technical Delivery

• Translate business and engineering objectives into executable program plans, including infrastructure requirements, capacity models, and deployment playbooks.
• Drive technical and operational trade-offs across performance, reliability, cost, availability, and schedule; communicate clearly to executives and stakeholders.
• Coordinate with datacenter/colo partners and internal facilities to ensure readiness for power, cooling, networking, security, and compliance.

Operational Excellence & Lifecycle Management

• Establish lifecycle processes for cluster hardware: commissioning, firmware/software baselines, break/fix, RMA workflows, spares strategy, and refresh planning.
• Improve reliability and serviceability via standardization, automation, and closed-loop feedback (telemetry root cause supplier/engineering fixes).
• Ensure operational rigor around change management, incident reviews, capacity planning, and continuous improvement.

Qualifications (Required)

• 12+ years of experience in technical program management, engineering program leadership, infrastructure delivery, or adjacent roles;
• Proven track record delivering large-scale infrastructure programs (datacenter, cloud, AI/HPC clusters, platforms, or complex hardware/software systems).
• Demonstrated experience partnering with supply chain organizations (procurement, sourcing, planning, manufacturing, logistics) and managing long-lead constraints and supplier dependencies.
• Strong program fundamentals: scope definition, critical path, integrated schedules, RAID management, executive communications, and stakeholder alignment in a matrix environment.
• Comfort with technical depth across compute platforms, networking/storage concepts, and operational tooling-enough to drive decisions and resolve ambiguity.

Preferred Qualifications

• Experience building infrastructure automation systems (planning workflows, exception management, supply chain automation, inventory/ETA visibility, forecasting, allocation logic, or digital twin models).
• Experience with supply chain product automation: owning internal tooling as a product (roadmap, requirements, adoption, metrics, iteration).
• Familiarity with contract manufacturing, ODM/OEM ecosystems, qualification flows, and NPI for infrastructure platforms.
• Strong analytics orientation (SQL/BI tools, data pipelines, KPI design) and ability to translate data into decisions.
• Experience operating global programs spanning multiple regions, datacenters, and suppliers.

Academic Credentials:

• Undergraduate degree is preferred.
• Applied Science Degree, PMP, and/or MBA are desired.

Location: Seattle, WA or Austin, TX

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

This posting is for an existing vacancy.