{"schemaVersion":"jobsearcher.job.v1","id":"2f7721d6e6da56476879ff6a","url":"https://jobsearcher.com/jobs/2f7721d6e6da56476879ff6a","canonicalUrl":"https://jobsearcher.com/jobs/2f7721d6e6da56476879ff6a","title":"Kernel Engineer","description":"Location\nUS and Canada Offices\nEmployment Type\nFull time\nDepartment\nSoftware\n\nCerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.\n\nThis order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\n\nCerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.\nAbout The Role\nAs a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture.\nYou will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.\nResponsibilities\nDevelop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms.\nDevelop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system.\nDevelop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.\nUsing mathematical models and analysis to measure the software performance and inform design decisions.\nDevelop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.\nStudy emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks.\nInteract with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.\nSkills And Qualifications\nBachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields.\nUnderstanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture.\nSkilled in C++ and Python programming languages.\nGood knowledge of library and/or API development best practices.\nStrong debugging skills and knowledge of debugging complex software stack.\nPreferred Skills And Qualifications\nExperience in kernel development and/or testing.\nFamiliarity with parallel algorithms and distributed memory systems.\nExperience in programming accelerators such as GPUs and FPGAs.\nFamiliarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch.\nFamiliarity with HPC kernels and their optimization.\nWhy Join Cerebras\nPeople who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\nPublish and open source their cutting-edge AI research.\nWork on one of the fastest AI supercomputers in the world.\nEnjoy job stability with startup vitality.\nOur simple, non-corporate work culture that respects individual beliefs.\n\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.","company":"Cerebras Systems","rawCompany":"cerebras systems","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:28:20.245Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Kernel Engineer","description":"Location\nUS and Canada Offices\nEmployment Type\nFull time\nDepartment\nSoftware\n\nCerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.\n\nThis order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\n\nCerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.\nAbout The Role\nAs a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture.\nYou will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize compute utilization and push the boundaries of training efficiency for state-of-the-art AI models. Your work will be critical to unlocking the full potential of our hardware and accelerating the pace of AI innovation.\nResponsibilities\nDevelop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System using various parallel programming algorithms.\nDevelop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines to implement algorithms targeting the Cerebras hardware system.\nDevelop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language, implementing algorithms optimized for the Cerebras hardware system.\nUsing mathematical models and analysis to measure the software performance and inform design decisions.\nDevelop and integrate unit and system testing methodologies to verify correct functionality and performance of kernel libraries.\nStudy emerging trends in Machine Learning applications and help evolve Kernel library architecture to address computational challenges of the start-of-the-art Neural Networks.\nInteract with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.\nSkills And Qualifications\nBachelor’s, Master’s, PhD or foreign equivalents in Computer Science, Computer Engineering, Mathematics, or related fields.\nUnderstanding of hardware architecture concepts — must be comfortable learning the details of a new hardware architecture.\nSkilled in C++ and Python programming languages.\nGood knowledge of library and/or API development best practices.\nStrong debugging skills and knowledge of debugging complex software stack.\nPreferred Skills And Qualifications\nExperience in kernel development and/or testing.\nFamiliarity with parallel algorithms and distributed memory systems.\nExperience in programming accelerators such as GPUs and FPGAs.\nFamiliarity with Machine Learning neural networks and frameworks such as TensorFlow and PyTorch.\nFamiliarity with HPC kernels and their optimization.\nWhy Join Cerebras\nPeople who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\nPublish and open source their cutting-edge AI research.\nWork on one of the fastest AI supercomputers in the world.\nEnjoy job stability with startup vitality.\nOur simple, non-corporate work culture that respects individual beliefs.\n\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.","datePosted":"2026-08-15T13:28:20.245Z","dateModified":"2026-08-15T13:28:20.245Z","hiringOrganization":{"@type":"Organization","name":"Cerebras Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2f7721d6e6da56476879ff6a"},"url":"https://jobsearcher.com/jobs/2f7721d6e6da56476879ff6a"}}