{"schemaVersion":"jobsearcher.job.v1","id":"731f7ef9417a59ff18d7e541","url":"https://jobsearcher.com/jobs/731f7ef9417a59ff18d7e541","canonicalUrl":"https://jobsearcher.com/jobs/731f7ef9417a59ff18d7e541","title":"Senior GPU Kernel Development Engineer","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\nAs a senior technical member of the team, you will play a key role in designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. You will analyze performance bottlenecks and develop architecture-aware optimizations to maximize compute efficiency, memory bandwidth utilization, and overall GPU performance. You will also collaborate closely with GPU architecture, compiler, library, and framework teams to develop scalable solutions and advance GPU performance across current and next-generation platforms.\n\nTHE PERSON:\n\nThe ideal candidate has strong experience in GPU programming, performance analysis and system software development. You will provide technical leadership, guiding teams and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.\n\nKEY RESPONSIBILITIES:\n\nArchitect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.\nDevelop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.\nDrive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.\nAdvance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.\nInnovate with AI-Assisted Development: Apply AI techniques to create next-generation tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.\n\nPREFERRED EXPERIENCE:\n\nStrong C++ skills\nStrong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.\nStrong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.\nStrong analytical/problem-solving skills and pronounced attention to details\nMust be a self-starter, and able to independently drive tasks to completion\n\nACADEMIC CREDENTIALS:\n\nBachelors or Masters degree in electrical or computer engineering\n\n#LI-JG1\n\nThis role is not eligible for visa sponsorship.\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":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-16T11:09:07.964Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior GPU Kernel Development Engineer","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\nAs a senior technical member of the team, you will play a key role in designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. You will analyze performance bottlenecks and develop architecture-aware optimizations to maximize compute efficiency, memory bandwidth utilization, and overall GPU performance. You will also collaborate closely with GPU architecture, compiler, library, and framework teams to develop scalable solutions and advance GPU performance across current and next-generation platforms.\n\nTHE PERSON:\n\nThe ideal candidate has strong experience in GPU programming, performance analysis and system software development. You will provide technical leadership, guiding teams and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.\n\nKEY RESPONSIBILITIES:\n\nArchitect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.\nDevelop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.\nDrive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.\nAdvance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.\nInnovate with AI-Assisted Development: Apply AI techniques to create next-generation tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.\n\nPREFERRED EXPERIENCE:\n\nStrong C++ skills\nStrong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.\nStrong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.\nStrong analytical/problem-solving skills and pronounced attention to details\nMust be a self-starter, and able to independently drive tasks to completion\n\nACADEMIC CREDENTIALS:\n\nBachelors or Masters degree in electrical or computer engineering\n\n#LI-JG1\n\nThis role is not eligible for visa sponsorship.\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":"2026-10-16T11:09:07.964Z","dateModified":"2026-10-16T11:09:07.964Z","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":"731f7ef9417a59ff18d7e541"},"url":"https://jobsearcher.com/jobs/731f7ef9417a59ff18d7e541"}}