{"schemaVersion":"jobsearcher.job.v1","id":"5feeef55c8e00e3fb8264200","url":"https://jobsearcher.com/jobs/5feeef55c8e00e3fb8264200","canonicalUrl":"https://jobsearcher.com/jobs/5feeef55c8e00e3fb8264200","title":"AI Inference Core - Software Integration 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\nWe are looking for a Software Integration Ninja to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers, runtimes, kernels, and hardware/software co-design.\nThe Innovation Engine for Inference Core — turning ideas into reality.\nYou will help take ambitious ideas from concept to working reality across the Cerebras inference stack. You will integrate and validate cross-component projects of high complexity, often on accelerated timelines, and work directly with engineers across AI, runtime, compiler, kernel, systems, and hardware teams.\nA Special Task Force, Not a Typical Engineering Role\nZero-to-one mission: Take incomplete ideas and early prototypes all the way to working, validated capabilities.\nCross-stack complexity: Move across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware—not just one component or codebase.\nAccelerated and dynamic cadence: Expect focused daily syncs, rapidly changing priorities, and periods of intense integration work. This is not a role for engineers seeking strictly regular, predictable work hours.\nComfortable on the hot seat: Take ownership when the path is unclear, make sound decisions with incomplete information, and stay effective when timelines are tight.\nBias for action: At critical moments, the mindset is “No Process, No Documentation, Just Get Stuff Done!!!” Cut through unnecessary ceremony, deliver the result, and then turn what you learned into better automation, diagnostics, documentation, and repeatable practices.\nTeam multiplier: Always push the work forward while raising the pace, clarity, and effectiveness of the people around you. We want people who bring the team with them—not lone heroes.\nWe prefer candidates with experience in software/hardware co-design or other complex systems, but that experience is not required. We welcome exceptional junior engineers who are eager to learn, do not shy away from ambiguity or hard work, and can demonstrate strong fundamentals, curiosity, ownership, and persistence.\nWhat You Will Do\nTurn new inference ideas and features into integrated, working capabilities across the Cerebras platform.\nTake high-value projects from zero to one—from an incomplete idea or prototype to a working, validated capability.\nIntegrate and validate software components spanning AI frameworks, runtime, compiler, kernels, distributed systems, and hardware.\nDrive cross-component projects of high complexity from problem definition through integration, validation, and release readiness.\nCollaborate closely with software and hardware engineers to make co-design trade-offs and resolve system-level issues.\nInvestigate and debug difficult failures across large-scale AI workloads, distributed software, infrastructure, and hardware boundaries.\nWork effectively on accelerated timelines while keeping technical risks, dependencies, and decisions visible.\nParticipate in focused daily syncs, manage rapidly changing priorities, and drive ambiguous situations toward concrete outcomes.\nIdentify bottlenecks, failure modes, edge cases, and integration gaps that affect inference correctness, performance, or delivery.\nCapture the essential lessons from urgent work so the next integration is faster and less chaotic.\nCreate momentum beyond your own work by helping teammates move faster, make better decisions, and close difficult problems together.\nMinimum Skills & Qualifications\nStrong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language.\nDemonstrated ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution.\nExperience—through professional work, internships, research, academic projects, open source, or equivalent hands-on work—building or debugging software systems.\nCuriosity about how complex systems behave across component boundaries.\nWillingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area.\nAbility to work hard and stay effective during periods of uncertainty, rapid change, and accelerated delivery.\nClear communication and strong collaboration across disciplines and levels of experience.\nPreferred Skills\nExperience in a startup or similarly fast-moving, resource-constrained engineering environment.\nDemonstrated experience taking a project from zero to one: turning an ambiguous problem, early idea, or prototype into a working and reliable capability.\nExperience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems.\nExperience debugging complex systems, distributed software environments, or large-scale compute clusters.\nExperience with AI infrastructure, model deployment, LLMs, or multimodal workloads.\nExposure to performance debugging, profiling, observability, or failure analysis.\nFamiliarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing.\nTrack record of driving cross-team projects from an incomplete idea to a reliable working result.\nLocation\nThis role follows a hybrid schedule and requires in-office presence three days per week. Fully remote work is not available.\nOffice locations: Sunnyvale, CA or Toronto, ON.\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":"2026-08-15T13:15:29.674Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"AI Inference Core - Software Integration 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\nWe are looking for a Software Integration Ninja to join the AI Inference Core team at Cerebras. This team sits at the intersection of AI infrastructure, distributed systems, compilers, runtimes, kernels, and hardware/software co-design.\nThe Innovation Engine for Inference Core — turning ideas into reality.\nYou will help take ambitious ideas from concept to working reality across the Cerebras inference stack. You will integrate and validate cross-component projects of high complexity, often on accelerated timelines, and work directly with engineers across AI, runtime, compiler, kernel, systems, and hardware teams.\nA Special Task Force, Not a Typical Engineering Role\nZero-to-one mission: Take incomplete ideas and early prototypes all the way to working, validated capabilities.\nCross-stack complexity: Move across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware—not just one component or codebase.\nAccelerated and dynamic cadence: Expect focused daily syncs, rapidly changing priorities, and periods of intense integration work. This is not a role for engineers seeking strictly regular, predictable work hours.\nComfortable on the hot seat: Take ownership when the path is unclear, make sound decisions with incomplete information, and stay effective when timelines are tight.\nBias for action: At critical moments, the mindset is “No Process, No Documentation, Just Get Stuff Done!!!” Cut through unnecessary ceremony, deliver the result, and then turn what you learned into better automation, diagnostics, documentation, and repeatable practices.\nTeam multiplier: Always push the work forward while raising the pace, clarity, and effectiveness of the people around you. We want people who bring the team with them—not lone heroes.\nWe prefer candidates with experience in software/hardware co-design or other complex systems, but that experience is not required. We welcome exceptional junior engineers who are eager to learn, do not shy away from ambiguity or hard work, and can demonstrate strong fundamentals, curiosity, ownership, and persistence.\nWhat You Will Do\nTurn new inference ideas and features into integrated, working capabilities across the Cerebras platform.\nTake high-value projects from zero to one—from an incomplete idea or prototype to a working, validated capability.\nIntegrate and validate software components spanning AI frameworks, runtime, compiler, kernels, distributed systems, and hardware.\nDrive cross-component projects of high complexity from problem definition through integration, validation, and release readiness.\nCollaborate closely with software and hardware engineers to make co-design trade-offs and resolve system-level issues.\nInvestigate and debug difficult failures across large-scale AI workloads, distributed software, infrastructure, and hardware boundaries.\nWork effectively on accelerated timelines while keeping technical risks, dependencies, and decisions visible.\nParticipate in focused daily syncs, manage rapidly changing priorities, and drive ambiguous situations toward concrete outcomes.\nIdentify bottlenecks, failure modes, edge cases, and integration gaps that affect inference correctness, performance, or delivery.\nCapture the essential lessons from urgent work so the next integration is faster and less chaotic.\nCreate momentum beyond your own work by helping teammates move faster, make better decisions, and close difficult problems together.\nMinimum Skills & Qualifications\nStrong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language.\nDemonstrated ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution.\nExperience—through professional work, internships, research, academic projects, open source, or equivalent hands-on work—building or debugging software systems.\nCuriosity about how complex systems behave across component boundaries.\nWillingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area.\nAbility to work hard and stay effective during periods of uncertainty, rapid change, and accelerated delivery.\nClear communication and strong collaboration across disciplines and levels of experience.\nPreferred Skills\nExperience in a startup or similarly fast-moving, resource-constrained engineering environment.\nDemonstrated experience taking a project from zero to one: turning an ambiguous problem, early idea, or prototype into a working and reliable capability.\nExperience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems.\nExperience debugging complex systems, distributed software environments, or large-scale compute clusters.\nExperience with AI infrastructure, model deployment, LLMs, or multimodal workloads.\nExposure to performance debugging, profiling, observability, or failure analysis.\nFamiliarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing.\nTrack record of driving cross-team projects from an incomplete idea to a reliable working result.\nLocation\nThis role follows a hybrid schedule and requires in-office presence three days per week. Fully remote work is not available.\nOffice locations: Sunnyvale, CA or Toronto, ON.\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":"2026-08-15T13:15:29.674Z","dateModified":"2026-08-15T13:15:29.674Z","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":"5feeef55c8e00e3fb8264200"},"url":"https://jobsearcher.com/jobs/5feeef55c8e00e3fb8264200"}}