{"schemaVersion":"jobsearcher.job.v1","id":"64d84901509d078e2a0291f8","url":"https://jobsearcher.com/jobs/64d84901509d078e2a0291f8","canonicalUrl":"https://jobsearcher.com/jobs/64d84901509d078e2a0291f8","title":"Systems Design Engineer (AI, Software)","description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\n\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.\n\nTHE ROLE\nAMD is seeking an AI Systems Engineer to help develop and optimize machine learning workloads on next-generation AMD AI accelerators. In this role, you will work at the intersection of hardware and software, designing high-performance ML operator kernels, optimizing dataflow pipelines, and enabling industry-leading AI inference performance across AMD NPU and GPU platforms.\n\nYou will collaborate closely with compiler, runtime, silicon, and architecture teams while helping bring cutting-edge AI technologies from concept to production. This role offers full-stack visibility from kernel development and model optimization through hardware validation and silicon bring-up. If you are passionate about AI systems, accelerator architectures, and solving complex performance challenges, this is an opportunity to make a significant impact on products deployed in millions of devices worldwide.\n\nTHE PERSON\nThe ideal candidate is a systems-minded engineer who enjoys tackling complex performance and optimization challenges at the hardware-software boundary. You are naturally curious, thrive in collaborative environments, and are comfortable working across multiple technical domains to debug, analyze, and improve system behavior.\n\nYou have a strong foundation in computer architecture and machine learning systems, enjoy working with cross-functional teams, and can translate technical insights into scalable solutions that improve performance, functionality, and product quality.\n\nKEY RESPONSIBILITIES\n\nDevelop and optimize machine learning operator kernels and dataflow libraries for AMD AI accelerators.\n\nProfile workloads, identify performance bottlenecks, and drive software and system-level optimizations.\n\nEnable and validate ML models within production inference frameworks and runtime environments.\n\nCollaborate with compiler, runtime, architecture, and silicon teams to deliver high-performance AI solutions.\n\nDebug and resolve issues spanning kernel implementation, runtime integration, model accuracy, and hardware bring-up.\n\nContribute to hardware-software co-design efforts by evaluating architectural tradeoffs and influencing future accelerator technologies.\n\nDrive innovation in performance methodologies, benchmarking, tooling, and AI system optimization.\n\nPREFERRED EXPERIENCE\n\nStrong software development experience using C/C++ and Python.\n\nExperience with parallel programming, multithreaded applications, and performance optimization.\n\nKnowledge of machine learning inference workloads and common operators such as GEMM, convolution, attention, and softmax.\n\nFamiliarity with AI frameworks and runtimes such as PyTorch, ONNX Runtime, ROCm, or similar technologies.\n\nUnderstanding of computer architecture, memory hierarchies, cache behavior, and accelerator programming models.\n\nExperience developing software for GPUs, NPUs, AI accelerators, or other high-performance computing platforms.\n\nExperience using development, debugging, profiling, and source control tools in Linux environments.\n\nFamiliarity with MLIR, LLVM, compiler technologies, or related software stacks.\n\nExposure to quantization techniques, including INT8, FP8, FP16, or BF16 optimization.\n\nKnowledge of dataflow architectures, systolic arrays, or custom accelerator designs.\n\nPublications, patents, or demonstrated technical contributions in machine learning systems, computer architecture, or related fields.\n\nACADEMIC CREDENTIALS\n\nMaster's or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field preferred.\n\nLOCATION\nSan Jose, CA\n\nThis role is not eligible for visa sponsorship.\n\n#LI-DR2\n\n#LI-HYBRID\n\nBenefits offered are described: AMD benefits at a glance.\n\nAMD 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.\n\nWe 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\nWe 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.\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-13T03:55:04.662Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Systems Design Engineer (AI, Software)","description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\n\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.\n\nTHE ROLE\nAMD is seeking an AI Systems Engineer to help develop and optimize machine learning workloads on next-generation AMD AI accelerators. In this role, you will work at the intersection of hardware and software, designing high-performance ML operator kernels, optimizing dataflow pipelines, and enabling industry-leading AI inference performance across AMD NPU and GPU platforms.\n\nYou will collaborate closely with compiler, runtime, silicon, and architecture teams while helping bring cutting-edge AI technologies from concept to production. This role offers full-stack visibility from kernel development and model optimization through hardware validation and silicon bring-up. If you are passionate about AI systems, accelerator architectures, and solving complex performance challenges, this is an opportunity to make a significant impact on products deployed in millions of devices worldwide.\n\nTHE PERSON\nThe ideal candidate is a systems-minded engineer who enjoys tackling complex performance and optimization challenges at the hardware-software boundary. You are naturally curious, thrive in collaborative environments, and are comfortable working across multiple technical domains to debug, analyze, and improve system behavior.\n\nYou have a strong foundation in computer architecture and machine learning systems, enjoy working with cross-functional teams, and can translate technical insights into scalable solutions that improve performance, functionality, and product quality.\n\nKEY RESPONSIBILITIES\n\nDevelop and optimize machine learning operator kernels and dataflow libraries for AMD AI accelerators.\n\nProfile workloads, identify performance bottlenecks, and drive software and system-level optimizations.\n\nEnable and validate ML models within production inference frameworks and runtime environments.\n\nCollaborate with compiler, runtime, architecture, and silicon teams to deliver high-performance AI solutions.\n\nDebug and resolve issues spanning kernel implementation, runtime integration, model accuracy, and hardware bring-up.\n\nContribute to hardware-software co-design efforts by evaluating architectural tradeoffs and influencing future accelerator technologies.\n\nDrive innovation in performance methodologies, benchmarking, tooling, and AI system optimization.\n\nPREFERRED EXPERIENCE\n\nStrong software development experience using C/C++ and Python.\n\nExperience with parallel programming, multithreaded applications, and performance optimization.\n\nKnowledge of machine learning inference workloads and common operators such as GEMM, convolution, attention, and softmax.\n\nFamiliarity with AI frameworks and runtimes such as PyTorch, ONNX Runtime, ROCm, or similar technologies.\n\nUnderstanding of computer architecture, memory hierarchies, cache behavior, and accelerator programming models.\n\nExperience developing software for GPUs, NPUs, AI accelerators, or other high-performance computing platforms.\n\nExperience using development, debugging, profiling, and source control tools in Linux environments.\n\nFamiliarity with MLIR, LLVM, compiler technologies, or related software stacks.\n\nExposure to quantization techniques, including INT8, FP8, FP16, or BF16 optimization.\n\nKnowledge of dataflow architectures, systolic arrays, or custom accelerator designs.\n\nPublications, patents, or demonstrated technical contributions in machine learning systems, computer architecture, or related fields.\n\nACADEMIC CREDENTIALS\n\nMaster's or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field preferred.\n\nLOCATION\nSan Jose, CA\n\nThis role is not eligible for visa sponsorship.\n\n#LI-DR2\n\n#LI-HYBRID\n\nBenefits offered are described: AMD benefits at a glance.\n\nAMD 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.\n\nWe 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\nWe 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.\n\n#J-18808-Ljbffr","datePosted":"2026-08-13T03:55:04.662Z","dateModified":"2026-08-13T03:55:04.662Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"64d84901509d078e2a0291f8"},"url":"https://jobsearcher.com/jobs/64d84901509d078e2a0291f8"}}