AI Validation and Test Engineer

Overview:

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Responsibilities:

THE ROLE

This role focuses on leading system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning platforms. You will define validation strategies, drive technical direction, and lead complex validation initiatives across hardware, firmware, software, and infrastructure domains.

You will work closely with architecture, platform engineering, silicon design, firmware, software, and deployment teams to ensure product quality, reliability, and deployment readiness at scale. The role requires deep technical expertise, strong analytical skills, and the ability to influence technical decisions across multiple engineering organizations. You will be responsible for establishing validation methodologies, driving execution across large-scale validation environments, and identifying quality risks that impact product readiness and customer deployments.

THE PERSON

You are a technical leader with extensive experience in system-level validation and large-scale server platforms. You thrive on solving complex technical problems, driving cross-functional initiatives, and defining scalable validation approaches for emerging technologies.

You are comfortable operating with minimal supervision while providing technical leadership across engineering teams. You possess strong debugging skills, sound technical judgment, and a deep understanding of hardware-software interactions. You proactively identify technical risks, drive resolution of complex platform issues, and influence engineering decisions that improve product quality, validation effectiveness, and deployment readiness. You are passionate about mentoring engineers and elevating engineering excellence across the organization.

KEY RESPONSIBILITIES

• Lead system-level, rack-level, and cluster-scale validation strategy for AI and machine learning server platforms.
• Define and drive comprehensive validation plans covering customer deployment scenarios across scale-up and scale-out environments.
• Develop validation methodologies and test strategies spanning CPU, GPU, memory, BIOS, BMC, networking, storage, platform firmware, operating systems, and infrastructure components.
• Collaborate with architecture, hardware, firmware, software, and platform engineering teams to define validation requirements, identify coverage gaps, and improve overall product quality.
• Lead investigation and root cause analysis of complex hardware, firmware, software, networking, and system integration issues.
• Drive technical decision-making within the validation organization and influence cross-functional teams to resolve critical product risks and quality concerns.
• Define and enhance scalable validation frameworks, automation infrastructure, telemetry-driven workflows, and data-driven validation methodologies.
• Analyze large-scale validation data to identify systemic failures, reliability risks, performance bottlenecks, and product readiness concerns.
• Establish validation readiness criteria, quality metrics, and coverage strategies that improve execution efficiency and provide early risk identification.
• Mentor and provide technical leadership to engineers, helping improve validation methodologies, automation capabilities, debugging effectiveness, and system-level engineering practices.
• Drive execution across multiple validation programs while managing priorities, dependencies, schedules, and technical risks.
• Communicate validation status, readiness assessments, quality metrics, technical recommendations, and key risks to senior technical leadership and management.
• Support customer-focused validation efforts by ensuring test environments accurately represent real-world deploym…