{"schemaVersion":"jobsearcher.job.v1","id":"97ce26031644a52ea9c024db","url":"https://jobsearcher.com/jobs/97ce26031644a52ea9c024db","canonicalUrl":"https://jobsearcher.com/jobs/97ce26031644a52ea9c024db","title":"Sr. Program Manager, Customer Program Management -Data Center GPU","description":"Overview:\n\nADVANCE YOUR CAREER. ADVANCE THE WORLD.\n\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\n\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.\n\nResponsibilities:\n\nTHE ROLE:\n\nWe are seeking a Senior Program Manager, Customer Program Management - Data Center GPU to lead key AI platform and customer programs from concept through production deployment. The role will focus primarily on OEM/ODM partners and enterprise customers, driving end-to-end execution across platform development, system validation, cluster bring-up, performance optimization, and production ramp.\n\nWorking across hardware, firmware, software, systems engineering, product management, support, business development, sales, and go-to-market teams, you will translate customer and product objectives into executable plans. You will serve as a primary program point of contact internally and externally, ensuring milestones are achieved and technical issues are resolved.\n\nTHE PERSON:\n\nThe ideal candidate combines strong technical program management experience with practical knowledge of complex data center GPU, server, and software systems. They are highly organized, technically credible, and comfortable leading horizontally across globally distributed engineering, business, OEM/ODM partner, and enterprise customer teams.\n\nThe successful candidate can clarify and analyze technical requirements, build integrated program plans across hardware and software dependencies, drive accountability, anticipate execution risks, and communicate status, decisions, and mitigation plans clearly to technical and business leadership. Experience supporting OEM/ODM partners and enterprise or large-scale AI customers through platform development, validation, cluster deployment, optimization, and production ramp is highly valued.\n\nKEY RESPONSIBILITIES:\n\nLead end-to-end customer and product programs for data center GPU platforms, from requirements and technical feasibility through development, validation, deployment, and production ramp.\nTranslate customer requirements and senior technical guidance into clear program scope, schedules, milestones, KPIs, dependencies, deliverables, and ownership.\nCoordinate hardware, firmware, driver, software stack, system validation, support, product, and customer teams to achieve program milestones and release objectives.\nDevelop integrated schedules that account for hardware, firmware, driver, software, platform, validation, and customer-environment dependencies; negotiate plans that support overall program commitments.\nSupport OEM/ODM and enterprise customer engagements through proof-of-concept, platform development, system validation, cluster bring-up, performance tuning, production deployment, and ongoing readiness at scale.\nCommunicate program status, decisions, issues, risks, and recommended mitigation plans to cross-functional teams, customers, partners, and leadership.\nDrive timely resolution of technical and execution roadblocks through structured issue management, clear accountability, and appropriate escalation.\nPartner with Product Management and Engineering to capture customer requirements and provide actionable feedback on hardware, firmware, driver, and software priorities.\nBuild and maintain well-developed program plans, risk assessments, dependency tracking, reporting mechanisms, and decision frameworks throughout the program lifecycle.\nIdentify opportunities to improve deployment processes, validation methodologies, release coordination, system reliability, and overall customer program execution.\nPlan proactively for development and deployment risks, identify prevention and mitigation methods, and address issues early to reduce schedule disruption and engineering cost.\n\nPREFERRED EXPERIENCE:\n\nProven program management experience in a dynamic, competitive technology environment, particularly within software development, systems engineering, or hardware engineering organizations.\nExperience supporting data center GPUs, accelerators, servers, AI infrastructure, or other complex compute platforms.\nExperience working directly with OEM/ODM partners, system integrators, enterprise data center customers, or large-scale AI customers.\nUnderstanding of data center infrastructure, server architectures, Linux environments, GPU software stacks, and large-scale compute deployments.\nFamiliarity with GPU software ecosystems such as ROCm, including drivers, firmware, containerized environments, software releases, and performance optimization.\nExperience managing programs involving platform validation, system debug, post-silicon activities, cluster bring-up, software release coordination, and production ramp.\nDemonstrated ability to manage complex schedules, cross-functional dependencies, risks, KPIs, and deliverables across multiple organizations.\nStrong customer-facing verbal and written communication skills, with the ability to translate complex technical issues into clear program status, risks, decisions, and actions.\nProven horizontal leadership and ability to lead within a matrixed organization across globally distributed teams, with flexibility to support execution across Asia and North America.\nBackground in technical program management, systems engineering, customer engineering, customer success, or technical account management within data center environments.\n\nACADEMIC CREDENTIALS:\n\nBachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field; master's or other advanced degree preferred.\n\nLOCATION:\n\nAustin, TX, Folsom, CA or Santa Clara, CA. (On-Site Role)\n Travel required to customer and partner locations.\n\n This role is not eligible for visa sponsorship.\n\n#LI-EV1\n\nQualifications:\n\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":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-29T10:47:45.289Z","occupations":[{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"},{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Program Manager, Customer Program Management -Data Center GPU","description":"Overview:\n\nADVANCE YOUR CAREER. ADVANCE THE WORLD.\n\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\n\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.\n\nResponsibilities:\n\nTHE ROLE:\n\nWe are seeking a Senior Program Manager, Customer Program Management - Data Center GPU to lead key AI platform and customer programs from concept through production deployment. The role will focus primarily on OEM/ODM partners and enterprise customers, driving end-to-end execution across platform development, system validation, cluster bring-up, performance optimization, and production ramp.\n\nWorking across hardware, firmware, software, systems engineering, product management, support, business development, sales, and go-to-market teams, you will translate customer and product objectives into executable plans. You will serve as a primary program point of contact internally and externally, ensuring milestones are achieved and technical issues are resolved.\n\nTHE PERSON:\n\nThe ideal candidate combines strong technical program management experience with practical knowledge of complex data center GPU, server, and software systems. They are highly organized, technically credible, and comfortable leading horizontally across globally distributed engineering, business, OEM/ODM partner, and enterprise customer teams.\n\nThe successful candidate can clarify and analyze technical requirements, build integrated program plans across hardware and software dependencies, drive accountability, anticipate execution risks, and communicate status, decisions, and mitigation plans clearly to technical and business leadership. Experience supporting OEM/ODM partners and enterprise or large-scale AI customers through platform development, validation, cluster deployment, optimization, and production ramp is highly valued.\n\nKEY RESPONSIBILITIES:\n\nLead end-to-end customer and product programs for data center GPU platforms, from requirements and technical feasibility through development, validation, deployment, and production ramp.\nTranslate customer requirements and senior technical guidance into clear program scope, schedules, milestones, KPIs, dependencies, deliverables, and ownership.\nCoordinate hardware, firmware, driver, software stack, system validation, support, product, and customer teams to achieve program milestones and release objectives.\nDevelop integrated schedules that account for hardware, firmware, driver, software, platform, validation, and customer-environment dependencies; negotiate plans that support overall program commitments.\nSupport OEM/ODM and enterprise customer engagements through proof-of-concept, platform development, system validation, cluster bring-up, performance tuning, production deployment, and ongoing readiness at scale.\nCommunicate program status, decisions, issues, risks, and recommended mitigation plans to cross-functional teams, customers, partners, and leadership.\nDrive timely resolution of technical and execution roadblocks through structured issue management, clear accountability, and appropriate escalation.\nPartner with Product Management and Engineering to capture customer requirements and provide actionable feedback on hardware, firmware, driver, and software priorities.\nBuild and maintain well-developed program plans, risk assessments, dependency tracking, reporting mechanisms, and decision frameworks throughout the program lifecycle.\nIdentify opportunities to improve deployment processes, validation methodologies, release coordination, system reliability, and overall customer program execution.\nPlan proactively for development and deployment risks, identify prevention and mitigation methods, and address issues early to reduce schedule disruption and engineering cost.\n\nPREFERRED EXPERIENCE:\n\nProven program management experience in a dynamic, competitive technology environment, particularly within software development, systems engineering, or hardware engineering organizations.\nExperience supporting data center GPUs, accelerators, servers, AI infrastructure, or other complex compute platforms.\nExperience working directly with OEM/ODM partners, system integrators, enterprise data center customers, or large-scale AI customers.\nUnderstanding of data center infrastructure, server architectures, Linux environments, GPU software stacks, and large-scale compute deployments.\nFamiliarity with GPU software ecosystems such as ROCm, including drivers, firmware, containerized environments, software releases, and performance optimization.\nExperience managing programs involving platform validation, system debug, post-silicon activities, cluster bring-up, software release coordination, and production ramp.\nDemonstrated ability to manage complex schedules, cross-functional dependencies, risks, KPIs, and deliverables across multiple organizations.\nStrong customer-facing verbal and written communication skills, with the ability to translate complex technical issues into clear program status, risks, decisions, and actions.\nProven horizontal leadership and ability to lead within a matrixed organization across globally distributed teams, with flexibility to support execution across Asia and North America.\nBackground in technical program management, systems engineering, customer engineering, customer success, or technical account management within data center environments.\n\nACADEMIC CREDENTIALS:\n\nBachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field; master's or other advanced degree preferred.\n\nLOCATION:\n\nAustin, TX, Folsom, CA or Santa Clara, CA. (On-Site Role)\n Travel required to customer and partner locations.\n\n This role is not eligible for visa sponsorship.\n\n#LI-EV1\n\nQualifications:\n\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":"2026-10-29T10:47:45.289Z","dateModified":"2026-10-29T10:47:45.289Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"97ce26031644a52ea9c024db"},"url":"https://jobsearcher.com/jobs/97ce26031644a52ea9c024db"}}