Senior AI Platform Development & Validation Engineer

Overview:

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

Responsibilities:

THE ROLE

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

You will develop and enhance automated validation frameworks, telemetry-driven analysis pipelines, and large-scale test infrastructure used to qualify AMD AI platforms from initial bring-up through customer deployment readiness. The role requires deep technical expertise in hardware-software interactions, strong analytical and debugging skills, and the ability to influence technical decisions across multiple engineering organizations.

Working closely with architecture, silicon, platform engineering, firmware, software, manufacturing, and deployment teams, you will identify quality risks, drive root-cause analysis, establish scalable validation methodologies, and ensure product quality, reliability, and deployment readiness at scale.

THE PERSON

You are a technical leader with extensive experience validating complex server, rack-scale, or distributed computing environments. You thrive on solving difficult technical problems, building scalable validation approaches, and driving improvements that increase platform quality and engineering efficiency.

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 across modern server platforms.

You proactively identify technical risks, establish effective validation strategies, and drive resolution of complex platform issues. You are passionate about mentoring engineers, improving validation methodologies, and influencing engineering decisions that improve product quality, validation effectiveness, and customer readiness.

KEY RESPONSIBILITIES

• Lead system-level, rack-level, and cluster-scale validation strategy for AI server and accelerated computing platforms.
• Define and drive comprehensive validation plans that represent real-world customer deployment scenarios across scale-up and scale-out infrastructures.
• Design, develop, and maintain automated validation frameworks, orchestration systems, telemetry pipelines, and data-driven workflows used to qualify AI platforms from initial bring-up through platform lifecycle.
• Develop validation methodologies spanning CPUs, GPUs, memory subsystems, PCIe fabrics, platform firmware, BIOS/UEFI, BMCs, networking, storage, operating systems, rack management infrastructure, and cluster-level software components.
• Execute and analyze large-scale validation workloads across lab, manufacturing, and pre-production environments to evaluate platform reliability, stability, scalability, performance, and operational readiness.
• Lead investigation and root-cause analysis of complex hardware, firmware, software, networking, and infrastructure issues using structured debugging methodologies and telemetry-driven analysis.
• Develop tooling and automation to collect, aggregate, and analyze health and performance telemetry from technologies such as Redfish, IPMI, OpenBMC, PCIe AER, SEL/SDR logs, operating system diagnostics, GPU telemetry, and platform management interfaces.
• Drive technical decision-making within the validation organization and influence cross-functional teams to resolve product quality risks and readiness concerns.
• Establish validation readiness criteria, release qualification requirements, coverage metrics, and quality gates that improve exec…