End-to-End AI Cluster Program Lead

Advanced Micro Devices, Inc.; Seattle (WA); On-site; USD 130,000 - 170,000; Full time

Job summary

Advanced Micro Devices, Inc. (AMD) is seeking a qualified Program Manager to own end-to-end AI cluster delivery from architecture through production readiness.

You will partner with architecture, engineering, validation, deployment, and lab operations teams to ensure successful bring-up, validation, and customer deployments. The role demands strong analytical and risk management skills, with the ability to coordinate across hardware, firmware, software, networking, and datacenter-scale

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
• This role requires strong analytical, problem-solving, risk management, and cross-functional leadership skills, with the ability to operate effectively in complex hardware, firmware, software, networking, and datacenter-scale environments.

Responsibilities

• Defines, plans, and drives end-to-end AI cluster delivery programs spanning solution architecture, platform readiness, validation, deployment, customer support, and lifecycle execution.
• Applies program management principles across multi-domain initiatives and stakeholder groups to improve delivery outcomes.
• Maintains program artifacts such as integrated schedules, resource and lab capacity plans, deployment plans, risk/issue logs, and executive status summaries.
• Provides clear program status, dependency mapping, and executive-level visibility across cluster architecture and deployments.

Skills

Program management

Cross-functional leadership

Data-driven decision making

Risk management

Education

Bachelor's or Master's degree in CS/CE/EE

Tools

MS Project

Jira

Dashboards

Job description

Advanced Micro Devices, Inc. (AMD) is seeking a qualified Program Manager to own end-to-end AI cluster delivery from architecture through production readiness.

You will partner with architecture, engineering, validation, deployment, and lab operations teams to ensure successful bring-up, validation, and customer deployments. The role demands strong analytical and risk management skills, with the ability to coordinate across hardware, firmware, software, networking, and datacenter-scale