Technical Program Manager, AI Rack-Scale Validation

Advanced Micro Devices, Inc

Austin (TX)

On-site

USD 140,000 - 210,000

Full time

4 days ago
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Job summary

Advanced Micro Devices, Inc is seeking a hands-on Technical Program Manager to lead highly visible AI infrastructure programs focused on GPU platforms, rack-level solutions, and AI cluster validation in Austin, TX. You will coordinate across hardware, firmware, networking, and validation teams to drive from system bring-up to deployment readiness.

You will partner with senior leaders to translate complex dependencies into executable plans, manage risks, and deliver reliable, scalable AI

Qualifications

  • Experience leading complex hardware, AI infrastructure, or datacenter programs across bring-up, validation, and deployment.
  • Technical understanding of GPU-based AI systems, server platforms, rack architectures, and datacenter infra.
  • Experience with GPU cluster scale testing, system stress testing, or large-scale validation.

Responsibilities

  • Lead end-to-end program planning and execution for GPU-based AI infrastructure, including server integration, rack bring-up, cluster validation, and deployment readiness.
  • Develop and maintain program schedules, dependency maps, risk tracking, readiness criteria, and dashboards.
  • Coordinate multi-node and multi-rack scale testing and readiness gates.
  • Lead incident response and drive root-cause analysis to improve reliability and deployment readiness.

Skills

Hardware programs
AI infrastructure
GPU systems
Cluster validation
Cross-functional leadership
Program management
System integration

Education

Bachelor’s or Master’s in Systems Engineering/CS/EE

Tools

Jira
Confluence
Excel
PowerPoint

Job description

Advanced Micro Devices, Inc is seeking a hands-on Technical Program Manager to lead highly visible AI infrastructure programs focused on GPU platforms, rack-level solutions, and AI cluster validation in Austin, TX. You will coordinate across hardware, firmware, networking, and validation teams to drive from system bring-up to deployment readiness.

You will partner with senior leaders to translate complex dependencies into executable plans, manage risks, and deliver reliable, scalable AI

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