{"schemaVersion":"jobsearcher.job.v1","id":"ed88569e32509c95d5b41fa9","url":"https://jobsearcher.com/jobs/ed88569e32509c95d5b41fa9","canonicalUrl":"https://jobsearcher.com/jobs/ed88569e32509c95d5b41fa9","title":"Sr. Director Workload Performance Optimization","description":"Overview:\nWHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.\nResponsibilities:\nTHE TEAM:\nAMD's Data Center GPU (DCGPU) organization is shaping the future with AI-based GPUs for enterprise data centers, AI, HPC, and embedded systems. Join us as we build cutting-edge AI-powered products with a world-class team.\n\nTHE ROLE:\nSeeking a Senior Director technical leader to drive GPU workload performance optimization, deep learning training/inference efficiency, and architecture innovation through advanced optimization techniques.\n\nTHE PERSON:\nA strong and collaborative leader who can guide SoC/System architects, profile and optimize GPU workloads, and influence design decisions across AI and HPC infrastructure.\n\nKEY RESPONSIBILITIES:\nStrategic Vision: Define long-term GPU performance and optimization roadmaps.\nPerformance Excellence: Identify and mitigate workload bottlenecks in compute, memory, and interconnects.\nDesign Influence: Partner with architects on next-gen GPU and framework design.\nInnovation: Develop new optimization methods (custom kernels, fusion, distributed computing).\nCross-Functional Collaboration: Align with product, business, and research teams.\nCulture: Promote technical excellence and performance-first engineering.\nPREFERRED EXPERIENCE:\nDeep expertise in GPU architecture, parallel computing, and performance profiling.\nProven leadership in guiding large engineering teams.\nStrong communication with executives, technical teams, and stakeholders.\nKnowledge of large-scale AI/HPC systems, multi-node GPU clusters, and memory hierarchies.\n\nACADEMIC CREDENTIALS:\nMS in Computer Engineering, Electrical Engineering, Computer Science, or related field\n\nLOCATION:\nSanta Clara, CA is primary location\n\n#LI-DKDAMD1\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.","company":"Advanced Micro Devices","rawCompany":"advanced micro devices","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:21:19.541Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Director Workload Performance Optimization","description":"Overview:\nWHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.\nResponsibilities:\nTHE TEAM:\nAMD's Data Center GPU (DCGPU) organization is shaping the future with AI-based GPUs for enterprise data centers, AI, HPC, and embedded systems. Join us as we build cutting-edge AI-powered products with a world-class team.\n\nTHE ROLE:\nSeeking a Senior Director technical leader to drive GPU workload performance optimization, deep learning training/inference efficiency, and architecture innovation through advanced optimization techniques.\n\nTHE PERSON:\nA strong and collaborative leader who can guide SoC/System architects, profile and optimize GPU workloads, and influence design decisions across AI and HPC infrastructure.\n\nKEY RESPONSIBILITIES:\nStrategic Vision: Define long-term GPU performance and optimization roadmaps.\nPerformance Excellence: Identify and mitigate workload bottlenecks in compute, memory, and interconnects.\nDesign Influence: Partner with architects on next-gen GPU and framework design.\nInnovation: Develop new optimization methods (custom kernels, fusion, distributed computing).\nCross-Functional Collaboration: Align with product, business, and research teams.\nCulture: Promote technical excellence and performance-first engineering.\nPREFERRED EXPERIENCE:\nDeep expertise in GPU architecture, parallel computing, and performance profiling.\nProven leadership in guiding large engineering teams.\nStrong communication with executives, technical teams, and stakeholders.\nKnowledge of large-scale AI/HPC systems, multi-node GPU clusters, and memory hierarchies.\n\nACADEMIC CREDENTIALS:\nMS in Computer Engineering, Electrical Engineering, Computer Science, or related field\n\nLOCATION:\nSanta Clara, CA is primary location\n\n#LI-DKDAMD1\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.","datePosted":"2026-04-14T10:21:19.541Z","dateModified":"2026-04-14T10:21:19.541Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ed88569e32509c95d5b41fa9"},"url":"https://jobsearcher.com/jobs/ed88569e32509c95d5b41fa9"}}