below marketmost similar roles pay hereabove market
This role pays more than
86%
of similar roles. Most pay
$208,576–$282,625
— the blue band above.
At the midpoint, this role pays about
$308k
versus about
$246k
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
496 open roles
on FindRole.
Listed pay typically runs
$172,000–$258,000
across 496 roles with salary data.
The Director, AI Systems – Scale-up, Scale-out and Networking is a leadership role responsible for driving platform readiness and enablement for next-generation AI infrastructure and connectivity technologies. You will lead a global cross-functional engineering organization to shape the strategy and execution for large-scale AI racks, accelerator clusters, and data center platforms. Day-to-day responsibilities include defining qualification strategies, guiding architectural decisions, and managing risk across silicon design, firmware, software, and validation. You will work with technologies including UA Link, PCIe Gen5/Gen6, CXL, Ethernet, and high-speed SerDes. The role focuses on solving complex connectivity and interconnect problems for CPUs, GPUs, and accelerators, ensuring robust, scalable solutions for high-performance computing and distributed systems through pre-silicon development, system bring-up, and production qualification.
Define and drive the strategy for platform readiness and ecosystem enablement of next-generation connectivity technologies.
Lead cross-functional engineering initiatives across silicon design, firmware, software, systems, and validation organizations.
Provide technical leadership to guide architectural decisions, risk management, and long-term technology investments.
Partner with internal teams, industry consortiums, and strategic customers to accelerate adoption of AI infrastructure platforms.
Establish scalable validation and qualification strategies from pre-silicon development through production and customer deployment.
Represent the company in executive reviews and strategic planning discussions as a technical leader for AI infrastructure.
What we're looking for
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Master's degree, PhD, or equivalent industry experience (preferred).
Extensive experience leading server, data center, AI, or HPC platform architecture, systems engineering, validation, or product development organizations (preferred).
Deep understanding of UA Link, PCIe Gen5/Gen6, CXL, Ethernet, high-speed SerDes, coherent fabrics, and large-scale distributed computing systems (preferred).
Proven track record delivering complex products from architecture definition through silicon development, platform bring-up, qualification, customer enablement, and production launch (preferred).
Experience collaborating across architecture, design, validation, firmware, software, manufacturing, and customer-facing organizations while influencing technical direction (preferred).
Demonstrated success building, mentoring, and leading high-performing engineering teams (preferred).
Experience leading cross-functional engineering initiatives spanning silicon design, architecture, firmware, software, systems, validation, and product organizations.
AI Infrastructure
Data Center Architecture
HPC
Distributed Systems
Site Reliability Engineering (SRE)
Software-Defined Networking (SDN)
Infrastructure as Code (IaC)
RDMA
InfiniBand
Ethernet Fabrics
Cluster Management
Capacity Planning
Thermal Management
Power Distribution
Observability
Automation Frameworks
Routing
Switching
Firmware
Silicon
GPU
SoC
HPC
AI
ML
C/C++
Python
Linux
Windows Server
PCIe
HBM
Post-Silicon Bring-up
System-level Debug
Validation Frameworks
Automation
Coherent Interconnects
Power Management