AMD

1 day ago

AI Systems Validation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead system-level, rack-level, and cluster-scale validation for next-generation AI and machine learning server platforms. Define validation strategies, comprehensive plans, and readiness criteria across CPU/GPU, firmware, networking, storage, operating systems, and infrastructure components. Drive root-cause analysis for complex integration issues, analyze large-scale validation data, and build scalable automation and telemetry-driven workflows to improve quality and customer deployment readiness at scale.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

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.
•Lead investigation and root cause analysis of complex hardware, firmware, software, networking, and system integration issues.
•Define and enhance scalable validation frameworks, automation infrastructure, telemetry-driven workflows, and data-driven validation methodologies.

Key Requirements

•8+ years of experience in system-level validation, platform validation, post-silicon validation, or large-scale infrastructure validation.
•Proven experience validating large-scale server, AI, cloud, HPC, or data center platforms.
•Demonstrated ability to lead investigation and resolution of complex hardware, firmware, software, networking, and infrastructure issues.
•Experience validating scale-up and scale-out architectures, including rack-scale and cluster-scale deployments.
•Strong proficiency in Python and Linux, with working knowledge of Bash and/or PowerShell.

Experience:8+ yearsSystem-level validationPlatform validationPost-silicon validationAIMachine learningCloudHPCData centerServer platforms

Education:Bachelor's in Computer Science, Computer Engineering, Electrical Engineering

Skills:Technical leadershipProblem-solvingDebuggingAnalytical skillsMentoring

Tech Stack:PythonLinuxBashPowerShellCPUGPUBIOSBMCNetworkingStorageFirmwareOperating systemsTelemetryAnalyticsAutomation

Company Brief

AMD

Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1969

Glassdoor: 3.9

Website LinkedIn

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AMD