{"schemaVersion":"jobsearcher.job.v1","id":"d5771625cc2b4dabd90fb34a","url":"https://jobsearcher.com/jobs/d5771625cc2b4dabd90fb34a","canonicalUrl":"https://jobsearcher.com/jobs/d5771625cc2b4dabd90fb34a","title":"ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs","description":"DESCRIPTION\nThe AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.\n\nKey job responsibilities\n\nAs a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers.\n\nStrong software development skills using C++/Python are critical to this role.\n\nA science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.\n\nIn order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto.\nBASIC QUALIFICATIONS\n3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n2+ years of experience in developing compiler features and optimizations\nProficiency in C++ and Python programming, applied to compiler or verification projects\nFamiliarity with LLVM, including knowledge of abstract interpretation and polyhedral domains\nDemonstrated scientific approach to software engineering problems\nPREFERRED QUALIFICATIONS\nMasters degree or PhD in computer science or equivalent\nExperience with deep learning frameworks like TensorFlow or PyTorch\nUnderstanding of large language model (LLM) training processes\nKnowledge of CUDA programming for GPU acceleration\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, WA, Seattle - 143,700.00 - 194,400.00 USD annually","company":"Amazon Web Services","rawCompany":"amazon web services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-19T13:19:40.380Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs","description":"DESCRIPTION\nThe AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.\n\nKey job responsibilities\n\nAs a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers.\n\nStrong software development skills using C++/Python are critical to this role.\n\nA science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required.\n\nIn order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto.\nBASIC QUALIFICATIONS\n3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n2+ years of experience in developing compiler features and optimizations\nProficiency in C++ and Python programming, applied to compiler or verification projects\nFamiliarity with LLVM, including knowledge of abstract interpretation and polyhedral domains\nDemonstrated scientific approach to software engineering problems\nPREFERRED QUALIFICATIONS\nMasters degree or PhD in computer science or equivalent\nExperience with deep learning frameworks like TensorFlow or PyTorch\nUnderstanding of large language model (LLM) training processes\nKnowledge of CUDA programming for GPU acceleration\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, WA, Seattle - 143,700.00 - 194,400.00 USD annually","datePosted":"2026-07-19T13:19:40.380Z","dateModified":"2026-07-19T13:19:40.380Z","hiringOrganization":{"@type":"Organization","name":"Amazon Web Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d5771625cc2b4dabd90fb34a"},"url":"https://jobsearcher.com/jobs/d5771625cc2b4dabd90fb34a"}}