{"schemaVersion":"jobsearcher.job.v1","id":"2e360a38e3b112e45be11997","url":"https://jobsearcher.com/jobs/2e360a38e3b112e45be11997","canonicalUrl":"https://jobsearcher.com/jobs/2e360a38e3b112e45be11997","title":"Lead GPU Machine Learning & HPC Architect","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 ROLE:\nRTG (Radeon Technologies Group) Architecture team in Folsom, CA is passionate about developing next-generation GPU solutions. As a Lead GPU Machine Learning & HPC Architect, you will collaborate with a strong architecture and design team on developing next generation products for data centers and super-computers. You will engage in architecture exploration, modeling and analysis of ML/HPC workloads. Through your experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products.\n\nTHE PERSON:\nYou have excellent analytical and problem-solving skills, along with attention to detail. You are an effective team player who focuses on collaboration, team building, mentoring, and furthering team success. You have strong communication, time management, and presentation skills\n\nKEY RESPONSIBILITIES:\nCommunicate and collaborate with a network of experienced architects and designers around the world.\nIdentify complex technical problems, break them down, summarize possible solutions\nWork with architects to propose innovative solutions that can be implemented in HW, validated by developing various models/simulators\nCollect/summarize data or simulation results for consumption by architects and design teams\nPREFERRED EXPERIENCE:\nKnowledge in GPU architectures, basic knowledge of CPU architecture\nBackground in Network-on-Chip (NoC) design and interconnect systems\nExperience in machine learning (ML) networks including TensorFlow and PyTorch\nUnderstanding of Graphics and Compute API's such as CUDA, OpenCL, and Vulkan\nExperience with operating systems (OS) and device driver development is a plus\nStrong programming foundation in C, C++, and scripting languages (Python, etc.)\nExperience in hardware modeling and design using RTL or SystemC\nACADEMIC CREDENTIALS:\nUndergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred\nThis role is not eligible for Visa sponsorship.\n\n#LI-BM1\n#LI-Hybrid\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":"Folsom","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:19:56.473Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-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":"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead GPU Machine Learning & HPC Architect","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 ROLE:\nRTG (Radeon Technologies Group) Architecture team in Folsom, CA is passionate about developing next-generation GPU solutions. As a Lead GPU Machine Learning & HPC Architect, you will collaborate with a strong architecture and design team on developing next generation products for data centers and super-computers. You will engage in architecture exploration, modeling and analysis of ML/HPC workloads. Through your experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products.\n\nTHE PERSON:\nYou have excellent analytical and problem-solving skills, along with attention to detail. You are an effective team player who focuses on collaboration, team building, mentoring, and furthering team success. You have strong communication, time management, and presentation skills\n\nKEY RESPONSIBILITIES:\nCommunicate and collaborate with a network of experienced architects and designers around the world.\nIdentify complex technical problems, break them down, summarize possible solutions\nWork with architects to propose innovative solutions that can be implemented in HW, validated by developing various models/simulators\nCollect/summarize data or simulation results for consumption by architects and design teams\nPREFERRED EXPERIENCE:\nKnowledge in GPU architectures, basic knowledge of CPU architecture\nBackground in Network-on-Chip (NoC) design and interconnect systems\nExperience in machine learning (ML) networks including TensorFlow and PyTorch\nUnderstanding of Graphics and Compute API's such as CUDA, OpenCL, and Vulkan\nExperience with operating systems (OS) and device driver development is a plus\nStrong programming foundation in C, C++, and scripting languages (Python, etc.)\nExperience in hardware modeling and design using RTL or SystemC\nACADEMIC CREDENTIALS:\nUndergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred\nThis role is not eligible for Visa sponsorship.\n\n#LI-BM1\n#LI-Hybrid\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":"2026-04-14T11:19:56.473Z","dateModified":"2026-04-14T11:19:56.473Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Folsom","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e360a38e3b112e45be11997"},"url":"https://jobsearcher.com/jobs/2e360a38e3b112e45be11997"}}