{"schemaVersion":"jobsearcher.job.v1","id":"2271f5e5aa8252291bc82cd2","url":"https://jobsearcher.com/jobs/2271f5e5aa8252291bc82cd2","canonicalUrl":"https://jobsearcher.com/jobs/2271f5e5aa8252291bc82cd2","title":"Sr. Software Development Engineer (GPU Machine Learning Performance)","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:\n\nTHE ROLE:\nAMD’s Advanced Technology Group is an entrepreneurial research and development team to build AMD's future advanced platforms & products. Our teams work closely with outside customers and internal teams to develop hardware, software, and systems solutions into next generation computing platforms. As part of AMD Advanced Technology Group, you will have the opportunity to be part of a winning team that will collaborate with internal teams & customers, explore new platform technologies, and lead the development of best-in-class hardware, software, and systems technologies that our customers will use for real-world problems.\n\nIn this role, you will join our team working on AMD’s next generation GPU edge inference solutions, ensuring machine learning solutions hit performance goals through GPU performance analysis, profiling, workload optimization and other duties to unlock powerful experiences for end-users with AMD devices.\n\nTHE PERSON:\nAMD is looking for a seasoned Principle Staff Member, to join our Advanced Technology Group GPU based Machine Learning development to work on AMD’s long-term Graphics and Machine Learning solutions, which will have significant impact for AMD, and the future of our products.\n\nOur group works on forward-looking projects and novel system concepts that significantly impact AMD’s future product portfolio. Your role will contribute to shaping AMD’s forward-looking hardware and software technologies.\n\nKEY RESPONSIBILITIES:\nWork within a team on Machine Learning SW and Workload development in pre and post-silicon phases of product development enabling next-generation of ML workloads in functional and performance attainment.\nProfile end‑to‑end inference pipelines to identify performance bottlenecks spanning kernels, scheduling, memory behavior, and model execution logic.\nOptimize execution paths for transformer models, including attention computation, KV‑cache behavior, and efficient memory layouts.\nDevelop and refine strategies for batching, parallelism, quantization, and distributed execution across single‑node and multi‑node environments.\nCollaborate with compiler, kernel and user mode driver teams, and hardware architecture teams to improve system‑level efficiency and remove scaling blockers.\nBuild performance models, benchmarking suites, and automated evaluation tools to quantify gains and track regressions.\nShape best practices for profiling, debugging, and performance tuning across engineering teams.\nCommunicate results, insights, and recommendations clearly to both technical and non‑technical partners.\nContribute to AMD’s next-generation GPU Machine Learning technologies.\n\nPREFERRED EXPERIENCE:\nStrong experience in high‑performance GPU computing, inference optimization, or systems‑level performance engineering.\nDeep understanding of machine learning architectures and large‑scale inference behavior.\nDemonstrated success in building, optimizing, Machine Learning kernels, workloads, models for performance and power.\nProficiency in GPU profiling tools, memory analysis, and performance tracing (e.g., HIP/CUDA profiling tools, custom instrumentation).\nAbility to reason about compute/memory tradeoffs, kernel scheduling, KV‑cache patterns, and parallel execution models.\nHands‑on experience with GPU kernels, inference runtimes, or compiler‑adjacent optimizations.\nDemonstrated track record of delivering measurable performance improvements in complex systems.\nAbility to drive technical direction in ambiguous or rapidly evolving problem spaces.\nTrack record in using AI tooling to accelerate engineering work.\nStrong collaboration and communication skills.\n\nACADEMIC CREDENTIALS:\nMaster / Bachelor of Computer Systems, Computer Science, Software Engineering, or similar degree.\n\nALTERNATE LOCATION:\nMarkham, ON\n\nThis role is not eligible for visa sponsorship.\n\n#LI-TB1\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":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T16:06:21.816Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Software Development Engineer (GPU Machine Learning Performance)","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:\n\nTHE ROLE:\nAMD’s Advanced Technology Group is an entrepreneurial research and development team to build AMD's future advanced platforms & products. Our teams work closely with outside customers and internal teams to develop hardware, software, and systems solutions into next generation computing platforms. As part of AMD Advanced Technology Group, you will have the opportunity to be part of a winning team that will collaborate with internal teams & customers, explore new platform technologies, and lead the development of best-in-class hardware, software, and systems technologies that our customers will use for real-world problems.\n\nIn this role, you will join our team working on AMD’s next generation GPU edge inference solutions, ensuring machine learning solutions hit performance goals through GPU performance analysis, profiling, workload optimization and other duties to unlock powerful experiences for end-users with AMD devices.\n\nTHE PERSON:\nAMD is looking for a seasoned Principle Staff Member, to join our Advanced Technology Group GPU based Machine Learning development to work on AMD’s long-term Graphics and Machine Learning solutions, which will have significant impact for AMD, and the future of our products.\n\nOur group works on forward-looking projects and novel system concepts that significantly impact AMD’s future product portfolio. Your role will contribute to shaping AMD’s forward-looking hardware and software technologies.\n\nKEY RESPONSIBILITIES:\nWork within a team on Machine Learning SW and Workload development in pre and post-silicon phases of product development enabling next-generation of ML workloads in functional and performance attainment.\nProfile end‑to‑end inference pipelines to identify performance bottlenecks spanning kernels, scheduling, memory behavior, and model execution logic.\nOptimize execution paths for transformer models, including attention computation, KV‑cache behavior, and efficient memory layouts.\nDevelop and refine strategies for batching, parallelism, quantization, and distributed execution across single‑node and multi‑node environments.\nCollaborate with compiler, kernel and user mode driver teams, and hardware architecture teams to improve system‑level efficiency and remove scaling blockers.\nBuild performance models, benchmarking suites, and automated evaluation tools to quantify gains and track regressions.\nShape best practices for profiling, debugging, and performance tuning across engineering teams.\nCommunicate results, insights, and recommendations clearly to both technical and non‑technical partners.\nContribute to AMD’s next-generation GPU Machine Learning technologies.\n\nPREFERRED EXPERIENCE:\nStrong experience in high‑performance GPU computing, inference optimization, or systems‑level performance engineering.\nDeep understanding of machine learning architectures and large‑scale inference behavior.\nDemonstrated success in building, optimizing, Machine Learning kernels, workloads, models for performance and power.\nProficiency in GPU profiling tools, memory analysis, and performance tracing (e.g., HIP/CUDA profiling tools, custom instrumentation).\nAbility to reason about compute/memory tradeoffs, kernel scheduling, KV‑cache patterns, and parallel execution models.\nHands‑on experience with GPU kernels, inference runtimes, or compiler‑adjacent optimizations.\nDemonstrated track record of delivering measurable performance improvements in complex systems.\nAbility to drive technical direction in ambiguous or rapidly evolving problem spaces.\nTrack record in using AI tooling to accelerate engineering work.\nStrong collaboration and communication skills.\n\nACADEMIC CREDENTIALS:\nMaster / Bachelor of Computer Systems, Computer Science, Software Engineering, or similar degree.\n\nALTERNATE LOCATION:\nMarkham, ON\n\nThis role is not eligible for visa sponsorship.\n\n#LI-TB1\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":"2026-07-16T16:06:21.816Z","dateModified":"2026-07-16T16:06:21.816Z","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":"2271f5e5aa8252291bc82cd2"},"url":"https://jobsearcher.com/jobs/2271f5e5aa8252291bc82cd2"}}