Sr. Director of Engineering, Data Center Infrastructure

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AMD is seeking a visionary Senior Director of AI Data Center Infrastructure Engineering to lead the strategy, architecture, deployment, and operation of next-generation AI data centers and large-scale compute environments.

This highly visible leadership role will be responsible for defining AMD's AI infrastructure architecture across rack-scale and cluster-scale deployments, spanning facility infrastructure, compute systems, networking, software operations, and reliability engineering. The successful candidate will lead a world-class organization of engineers and architects responsible for building scalable AI infrastructure that supports AMD's internal development, validation, and customer enablement initiatives.

This position requires a unique combination of executive leadership, systems thinking, and deep technical expertise across data center architecture, networking, distributed systems, cluster operations, and large-scale infrastructure deployment.

The ideal candidate is a highly experienced technology executive with a proven track record of building and operating large-scale data center environments. You thrive in complex, cross-functional organizations and have demonstrated success leading large engineering teams while influencing strategy across hardware, software, systems, and operations.

You possess deep technical expertise in AI infrastructure and can translate business objectives into scalable engineering solutions. You are equally comfortable discussing system architecture with technical experts and presenting strategic recommendations to executive leadership, customers, and industry partners.

• Define AMD's end-to-end AI data center infrastructure strategy, including compute architecture, facility requirements, operational models, and scalability planning.
• Lead architecture and deployment decisions for large-scale AI and HPC data center environments spanning thousands of servers and accelerators.
• Drive infrastructure planning across power distribution, cooling strategies, space utilization, capacity forecasting, and operational readiness.
• Analyze performance, efficiency, reliability, and total cost of ownership (TCO) tradeoffs to optimize infrastructure investments.
• Partner with internal engineering organizations, facilities teams, and external vendors to deliver world-class AI infrastructure platforms.

• Own architecture decisions spanning silicon, servers, rack-scale solutions, and full data center deployments.
• Collaborate closely with hardware, software, networking, systems design, platform engineering, and product organizations to align infrastructure capabilities with AMD technology roadmaps.
• Drive architecture reviews and technical decision-making across mechanical, electrical, thermal, firmware, software, and systems domains.
• Establish scalable infrastructure standards and design methodologies for future AI platforms.

• Lead the design, deployment, and lifecycle management of large-scale AI training and inference clusters.
• Establish operational excellence through Site Reliability…