This role pays more than
84%
of similar roles. Most pay
$174,600–$261,000
— the shaded band above.
At the midpoint, this role pays about
$289k
versus about
$218k
for comparable roles.
Based on 240 similar postings.
Employer
About Amd
AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors
Amd currently has
512 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 512 roles with salary data.
Sr. Director of Engineering, Data Center Infrastructure leads a global organization of engineers and architects to oversee the strategy, architecture, deployment, and operation of next-generation AI data centers and large-scale compute environments. This role involves defining end-to-end infrastructure strategies for rack-scale and cluster-scale deployments, covering facility requirements, power distribution, cooling, and capacity planning. The position focuses on building scalable infrastructure to support internal development and customer enablement by managing systems architecture across silicon, servers, and networking. Key responsibilities include overseeing Site Reliability Engineering (SRE) principles, automation strategies, and high-speed fabric technologies like RDMA and InfiniBand. The role requires expertise in distributed systems, software-defined networking, and infrastructure as code to solve complex problems in AI training and inference clusters while optimizing for performance, reliability, and total cost of ownership across large-scale hardware and software domains.
Define the end-to-end strategy for AI data center infrastructure including compute architecture, facility requirements, and scalability planning.
Lead architectural decisions for large-scale AI and HPC environments involving thousands of servers and accelerators.
Manage the design, deployment, and lifecycle of large-scale training and inference clusters using SRE principles.
Develop automation strategies to improve deployment speed, infrastructure efficiency, and system reliability.
Design and optimize high-performance networking architectures including high-speed fabrics and accelerator interconnect technologies.
Lead a global organization of 50-75 engineers and architects while fostering a high-performance engineering culture.
Serve as a technical advisor to executive leadership on investment priorities and industry trends.
Collaborate with customers, system integrators, and partners to align infrastructure capabilities with product roadmaps.
What we're looking for
Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field.
Master's degree (preferred).
PhD (considered a plus).
Proven experience designing, deploying, and operating large-scale data center environments (preferred).
Experience leading engineering organizations and managing multidisciplinary teams (preferred).
Expertise in AI infrastructure, server architectures, accelerator-based computing, and rack-scale system design (preferred).
Proficiency in high-performance data center networks including switching, routing, Ethernet fabrics, RDMA, InfiniBand, and interconnect technologies (preferred).
Experience with Site Reliability Engineering (SRE), Infrastructure as Code (IaC), and automation frameworks (preferred).
Data Center Architecture
AI Infrastructure
Capacity Planning
Power and Cooling Design
High-Performance Networking
Storage Connectivity
Colocation
HPC
Infrastructure Lifecycle Planning
Site Selection
Thermal Assessment
Rack-Power Modeling
Multi-site Deployment
Campus Planning
Data Center Architecture
AI Infrastructure
Capacity Planning
Power and Cooling Design
High-Performance Networking
Storage Connectivity
Colocation
HPC
Infrastructure Lifecycle Planning
Thermal Assessment
Site Selection
Campus Planning
Rack-Power Modeling
Multi-site Deployment