{"schemaVersion":"jobsearcher.job.v1","id":"e078ee96b24cd1d2ac2c63c0","url":"https://jobsearcher.com/jobs/e078ee96b24cd1d2ac2c63c0","canonicalUrl":"https://jobsearcher.com/jobs/e078ee96b24cd1d2ac2c63c0","title":"Distributed Software 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\nCerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster.\nResponsibilities\nAutomate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches.\nAdditional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters.\nAn orchestration and scheduler system for resource allocation, job submission C placements for a multi-user environment on a cluster.\nSeamless support for both on-premise and cloud mode deployment and operations.\nA robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters).\nBroad cluster and job monitoring and visualization capabilities, along with alerting systems.\nUser facing tools to monitor the status of jobs and collect metrics.\nAdministrator facing tools to manage and operate large clusters.\nSkills & Qualifications\nStrong track record of software architecture, system design and development.\nStrong track record of development in distributed cluster.\nStrong understanding of Kubernetes (K8s) software ecosystem, Prometheus and Grafana.\nStrong development skills in GoLang, Python, bash.\nStrong debugging skills with distributed systems.\nStrong skill to develop tests for the new features and regress old features.\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":"2026-08-15T13:28:20.251Z","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":"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":"Distributed Software 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\nCerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster.\nResponsibilities\nAutomate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches.\nAdditional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clusters.\nAn orchestration and scheduler system for resource allocation, job submission C placements for a multi-user environment on a cluster.\nSeamless support for both on-premise and cloud mode deployment and operations.\nA robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters).\nBroad cluster and job monitoring and visualization capabilities, along with alerting systems.\nUser facing tools to monitor the status of jobs and collect metrics.\nAdministrator facing tools to manage and operate large clusters.\nSkills & Qualifications\nStrong track record of software architecture, system design and development.\nStrong track record of development in distributed cluster.\nStrong understanding of Kubernetes (K8s) software ecosystem, Prometheus and Grafana.\nStrong development skills in GoLang, Python, bash.\nStrong debugging skills with distributed systems.\nStrong skill to develop tests for the new features and regress old features.\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":"2026-08-15T13:28:20.251Z","dateModified":"2026-08-15T13:28:20.251Z","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":"e078ee96b24cd1d2ac2c63c0"},"url":"https://jobsearcher.com/jobs/e078ee96b24cd1d2ac2c63c0"}}