This role pays more than
54%
of similar roles. Most pay
$162,750–$243,650
— the shaded band above.
At the midpoint, this role pays about
$205k
versus about
$203k
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
367 open roles
on FindRole.
Listed pay typically runs
$166,400–$249,600
across 367 roles with salary data.
The Senior Staff AI Infrastructure Validation Engineer joins the team to lead system-level, rack-level, and cluster-scale validation for next-generation AI infrastructure and accelerated computing platforms. This role involves defining validation strategies, developing automated frameworks, and creating telemetry-driven analysis pipelines to qualify products from initial bring-up through deployment readiness. The candidate will manage complex hardware-software interactions across CPUs, GPUs, memory subsystems, PCIe fabrics, firmware, BIOS/UEFI, BMCs, networking, and storage components. Key responsibilities include performing root-cause analysis on infrastructure issues and developing tools for Redfish, IPMI, OpenBMC, and RoCE technologies. The role requires expertise in Python, Linux, and large-scale data analysis to ensure reliability across distributed computing environments. This position solves critical quality risks and ensures the scalability of high-performance computing systems by establishing robust validation methodologies and technical leadership across multiple engineering organizations.
Execute large-scale validation workloads across lab and manufacturing environments to evaluate performance and reliability.
Lead root-cause analysis for complex hardware, firmware, software, and networking issues using telemetry-driven data.
Develop tools to collect and analyze health metrics from Redfish, IPMI, OpenBMC, and other management interfaces.
Establish validation readiness criteria, quality gates, and coverage metrics to ensure product deployment readiness.
Mentor engineers and provide technical leadership to improve debugging effectiveness and automation capabilities.
What we're looking for
Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline.
Experience validating large-scale AI, cloud, HPC, server, rack-scale, or data center platforms.
Expertise in hardware-software integration, platform validation, system bring-up, and infrastructure qualification.
Proficiency in developing software and automation using Python, Linux, and modern test orchestration frameworks.
Ability to investigate and resolve complex issues across hardware, firmware, operating systems, networking, storage, and distributed infrastructure.
Experience leveraging telemetry, observability, and large-scale data analysis for root-cause analysis and engineering decision-making.
Familiarity with server technologies including PCIe architecture, BIOS/UEFI, BMCs (Redfish, IPMI), and high-speed interconnects like InfiniBand or RoCE.
Demonstrated ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries.
AI
Machine Learning
GPU
Python
Linux
Bash
PowerShell
Firmware
BIOS
BMC
Networking
Storage
Data Center
HPC
Root Cause Analysis
Automation
Telemetry
System-level Validation