AI Systems Validation Engineer

AMD
United States
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Technical leadership","Problem-solving","Debugging","Analytical skills","Mentoring"]

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.

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FursaFursa
AMD
AMD
1 month 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: 17 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
Glassdoor: 3.9
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