{"schemaVersion":"jobsearcher.job.v1","id":"efca52566423f9a8b67d5f6c","url":"https://jobsearcher.com/jobs/efca52566423f9a8b67d5f6c","canonicalUrl":"https://jobsearcher.com/jobs/efca52566423f9a8b67d5f6c","title":"Sr. AI Platform Development & Validation Engineer","description":"Overview:\nADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt 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.\n\nAMD 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.\nResponsibilities:\nTHE ROLE\nThis 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.\nYou 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.\nWorking 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.\n\nTHE PERSON\nYou 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.\nYou 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.\nYou 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.\n\nKEY RESPONSIBILITIES\nLead system-level, rack-level, and cluster-scale validation strategy for AI server and accelerated computing platforms.\nDefine and drive comprehensive validation plans that represent real-world customer deployment scenarios across scale-up and scale-out infrastructures.\nDesign, 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.\nDevelop 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.\nExecute and analyze large-scale validation workloads across lab, manufacturing, and pre-production environments to evaluate platform reliability, stability, scalability, performance, and operational readiness.\nLead investigation and root-cause analysis of complex hardware, firmware, software, networking, and infrastructure issues using structured debugging methodologies and telemetry-driven analysis.\nDevelop 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.\nDrive technical decision-making within the validation organization and influence cross-functional teams to resolve product quality risks and readiness concerns.\nEstablish validation readiness criteria, release qualification requirements, coverage metrics, and quality gates that improve execution consistency and early risk identification.\nPartner closely with architecture, silicon, firmware, software, systems engineering, manufacturing, deployment, and support organizations to continually improve product quality, reliability, and validation effectiveness.\nOwn and evolve validation content, test procedures, troubleshooting guides, release documentation, and engineering standards used to support repeatable execution across validation environments.\nWork directly with technicians, validation engineers, and operational teams executing your test content, providing technical guidance, reviewing findings, driving procedural consistency, and improving test development practices across programs.\nMentor engineers and provide technical leadership that improves debugging effectiveness, automation capabilities, validation methodologies, and overall engineering excellence.\nCommunicate validation status, readiness assessments, technical recommendations, quality metrics, and key risks to engineering leadership and stakeholders.\nDrive continuous improvement of validation frameworks, automation infrastructure, tooling, documentation, and development processes to increase organizational efficiency, test coverage, and product quality.\nPREFERRED EXPERIENCE\nExperience validating large-scale AI, cloud, HPC, server, rack-scale, or data center platforms.\nStrong background in hardware-software integration, platform validation, system bring-up, infrastructure qualification, and deployment readiness activities.\nExperience developing software and automation using Python, Linux, and modern test orchestration frameworks.\nProven ability to investigate and resolve complex issues spanning hardware, firmware, operating systems, networking, storage, platform management, and distributed infrastructure environments.\nExperience leveraging telemetry, observability, and large-scale data analysis to improve validation coverage, root-cause analysis, and engineering decision-making.\nFamiliarity with server and rack technologies including:\nAMD EPYC processors and Instinct accelerators\nGPU management and observability frameworks\nPCIe architecture and AER diagnostics\nBIOS/UEFI and firmware validation\nBMC technologies, IPMI, Redfish, and OpenBMC\nInfiniBand, Ethernet, RoCE, and scale-up interconnects\nStorage technologies and NVMe validation\nCluster management and distributed computing environments\nExperience supporting manufacturing validation, ODM/OEM integration, deployment qualification, customer readiness, or hyperscale infrastructure programs.\nDemonstrated ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries.\nStrong verbal and written communication skills with the ability to communicate technical findings, quality risks, recommendations, and readiness assessments to engineers, technicians, program managers, and senior leadership.\nACADEMIC CREDENTIALS\nBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline.\nLOCATION\nSecaucus, New Jersey (short commute from NYC)\nThis role is expected to be primarily onsite with flexibility in accordance with AMD workplace guidelines.\nRegular hands-on interaction with servers, AI racks, cluster infrastructure, validation laboratories, and deployment environments is required.\nPeriodic support during critical platform bring-up activities, release qualification milestones, customer readiness events, and program ramp cycles may be required.\nThis role is not eligible for visa sponsorship.\n#LI-KW1\nQualifications:\nBenefits offered are described: AMD benefits at a glance.\n\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\n\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.","company":"Advanced Micro Devices","rawCompany":"advanced micro devices","city":"Secaucus","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:52:35.400Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. AI Platform Development & Validation Engineer","description":"Overview:\nADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt 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.\n\nAMD 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.\nResponsibilities:\nTHE ROLE\nThis 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.\nYou 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.\nWorking 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.\n\nTHE PERSON\nYou 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.\nYou 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.\nYou 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.\n\nKEY RESPONSIBILITIES\nLead system-level, rack-level, and cluster-scale validation strategy for AI server and accelerated computing platforms.\nDefine and drive comprehensive validation plans that represent real-world customer deployment scenarios across scale-up and scale-out infrastructures.\nDesign, 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.\nDevelop 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.\nExecute and analyze large-scale validation workloads across lab, manufacturing, and pre-production environments to evaluate platform reliability, stability, scalability, performance, and operational readiness.\nLead investigation and root-cause analysis of complex hardware, firmware, software, networking, and infrastructure issues using structured debugging methodologies and telemetry-driven analysis.\nDevelop 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.\nDrive technical decision-making within the validation organization and influence cross-functional teams to resolve product quality risks and readiness concerns.\nEstablish validation readiness criteria, release qualification requirements, coverage metrics, and quality gates that improve execution consistency and early risk identification.\nPartner closely with architecture, silicon, firmware, software, systems engineering, manufacturing, deployment, and support organizations to continually improve product quality, reliability, and validation effectiveness.\nOwn and evolve validation content, test procedures, troubleshooting guides, release documentation, and engineering standards used to support repeatable execution across validation environments.\nWork directly with technicians, validation engineers, and operational teams executing your test content, providing technical guidance, reviewing findings, driving procedural consistency, and improving test development practices across programs.\nMentor engineers and provide technical leadership that improves debugging effectiveness, automation capabilities, validation methodologies, and overall engineering excellence.\nCommunicate validation status, readiness assessments, technical recommendations, quality metrics, and key risks to engineering leadership and stakeholders.\nDrive continuous improvement of validation frameworks, automation infrastructure, tooling, documentation, and development processes to increase organizational efficiency, test coverage, and product quality.\nPREFERRED EXPERIENCE\nExperience validating large-scale AI, cloud, HPC, server, rack-scale, or data center platforms.\nStrong background in hardware-software integration, platform validation, system bring-up, infrastructure qualification, and deployment readiness activities.\nExperience developing software and automation using Python, Linux, and modern test orchestration frameworks.\nProven ability to investigate and resolve complex issues spanning hardware, firmware, operating systems, networking, storage, platform management, and distributed infrastructure environments.\nExperience leveraging telemetry, observability, and large-scale data analysis to improve validation coverage, root-cause analysis, and engineering decision-making.\nFamiliarity with server and rack technologies including:\nAMD EPYC processors and Instinct accelerators\nGPU management and observability frameworks\nPCIe architecture and AER diagnostics\nBIOS/UEFI and firmware validation\nBMC technologies, IPMI, Redfish, and OpenBMC\nInfiniBand, Ethernet, RoCE, and scale-up interconnects\nStorage technologies and NVMe validation\nCluster management and distributed computing environments\nExperience supporting manufacturing validation, ODM/OEM integration, deployment qualification, customer readiness, or hyperscale infrastructure programs.\nDemonstrated ability to lead cross-functional technical initiatives and influence engineering decisions across organizational boundaries.\nStrong verbal and written communication skills with the ability to communicate technical findings, quality risks, recommendations, and readiness assessments to engineers, technicians, program managers, and senior leadership.\nACADEMIC CREDENTIALS\nBachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline.\nLOCATION\nSecaucus, New Jersey (short commute from NYC)\nThis role is expected to be primarily onsite with flexibility in accordance with AMD workplace guidelines.\nRegular hands-on interaction with servers, AI racks, cluster infrastructure, validation laboratories, and deployment environments is required.\nPeriodic support during critical platform bring-up activities, release qualification milestones, customer readiness events, and program ramp cycles may be required.\nThis role is not eligible for visa sponsorship.\n#LI-KW1\nQualifications:\nBenefits offered are described: AMD benefits at a glance.\n\nAMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.\n\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.","datePosted":"2026-08-03T22:52:35.400Z","dateModified":"2026-08-03T22:52:35.400Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Secaucus","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"efca52566423f9a8b67d5f6c"},"url":"https://jobsearcher.com/jobs/efca52566423f9a8b67d5f6c"}}