{"schemaVersion":"jobsearcher.job.v1","id":"e025d7f588f5a4014f67a1b5","url":"https://jobsearcher.com/jobs/e025d7f588f5a4014f67a1b5","canonicalUrl":"https://jobsearcher.com/jobs/e025d7f588f5a4014f67a1b5","title":"Full-Stack Software Engineer, Compute Foundations","description":"About the Team\r\nThe Frontier Clusters team at the company builds, launches, and supports the largest supercomputers in the world!\r\nOur mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably.\r\nThat means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable.\r\nAbout the Role\r\nYou will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem?\r\nYou will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale.\r\nThis is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world's largest supercomputers into clear, reliable, and scalable systems.\r\nIn this role, you will:\r\nBuild full-stack web applications that help researchers and operators understand cluster health, job failures, and usable capacity in real time.\r\nTurn questions like \"why is this job down?\" and \"what is preventing these nodes from being ready?\" into clear, actionable product experiences.\r\nCollaborate closely with researchers and infrastructure teams to identify high-leverage operational problems and build tools that solve them.\r\nDesign data models, APIs, and visualizations that make large-scale scheduling, resource allocation, and cluster behavior easier to inspect and reason about.\r\nDevelop scalable backend services that process high-volume cluster and workload data with low latency and high reliability.\r\nBuild intuitive frontend workflows that connect users to the underlying scheduling, storage, and compute systems.\r\nRaise the bar for reliability, performance, and security in the systems used to operate the company's frontier compute.\r\nYou might thrive in this role if you\r\nHave significant experience in full-stack development, with expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies such as Python, Go, or Node.js.\r\nHave built scalable, high-performance web applications for complex distributed systems.\r\nUnderstand APIs, distributed data systems, and cloud infrastructure.\r\nAre execution-focused, with a strong eye for usability, performance, and scalability.\r\nAre comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.\r\nBonus points if you\r\nHave experience working with Kubernetes, Docker, and cloud-native application deployment.\r\nUnderstand AI/ML workload scheduling and orchestration challenges.\r\nHave experience with real-time data processing, visualization libraries, and observability tooling.\r\nCompensation Range: $230K - $347K USD\r\nAbout the company\r\nthe company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.\r\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\r\nJ-18808-Ljbffr","company":"United States Digital Space","rawCompany":"united states digital space","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-04T01:53:48.949Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"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":"Full-Stack Software Engineer, Compute Foundations","description":"About the Team\r\nThe Frontier Clusters team at the company builds, launches, and supports the largest supercomputers in the world!\r\nOur mission is to make them work for frontier model training. We bring new clusters online, scale them to larger and larger training runs, improve cluster availability, and work with researchers to understand and fix the issues that keep jobs from running reliably.\r\nThat means debugging issues across hardware and software, building the tools needed to operate these systems, and working closely with researchers to make frontier training reliable.\r\nAbout the Role\r\nYou will build web-based tools that help answer critical questions about our supercomputing clusters: Why is this training job down? What is preventing these nodes from being ready? Where are we losing usable capacity, and what should we fix first? How can agents help us solve this problem?\r\nYou will work closely with researchers and infrastructure teams to identify the highest-leverage problems in cluster operations, then design and build solutions. That could mean improving cluster availability, giving users and operators better insight into job failures and performance, or building workflows that make scheduling, debugging, and resource management more effective at massive scale.\r\nThis is an opportunity to work at the cutting edge of AI infrastructure, turning complex operational problems across some of the world's largest supercomputers into clear, reliable, and scalable systems.\r\nIn this role, you will:\r\nBuild full-stack web applications that help researchers and operators understand cluster health, job failures, and usable capacity in real time.\r\nTurn questions like \"why is this job down?\" and \"what is preventing these nodes from being ready?\" into clear, actionable product experiences.\r\nCollaborate closely with researchers and infrastructure teams to identify high-leverage operational problems and build tools that solve them.\r\nDesign data models, APIs, and visualizations that make large-scale scheduling, resource allocation, and cluster behavior easier to inspect and reason about.\r\nDevelop scalable backend services that process high-volume cluster and workload data with low latency and high reliability.\r\nBuild intuitive frontend workflows that connect users to the underlying scheduling, storage, and compute systems.\r\nRaise the bar for reliability, performance, and security in the systems used to operate the company's frontier compute.\r\nYou might thrive in this role if you\r\nHave significant experience in full-stack development, with expertise in modern frontend frameworks such as React, Vue, or Angular, and backend technologies such as Python, Go, or Node.js.\r\nHave built scalable, high-performance web applications for complex distributed systems.\r\nUnderstand APIs, distributed data systems, and cloud infrastructure.\r\nAre execution-focused, with a strong eye for usability, performance, and scalability.\r\nAre comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.\r\nBonus points if you\r\nHave experience working with Kubernetes, Docker, and cloud-native application deployment.\r\nUnderstand AI/ML workload scheduling and orchestration challenges.\r\nHave experience with real-time data processing, visualization libraries, and observability tooling.\r\nCompensation Range: $230K - $347K USD\r\nAbout the company\r\nthe company is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.\r\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T01:53:48.949Z","dateModified":"2026-07-04T01:53:48.949Z","hiringOrganization":{"@type":"Organization","name":"United States Digital Space","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e025d7f588f5a4014f67a1b5"},"url":"https://jobsearcher.com/jobs/e025d7f588f5a4014f67a1b5"}}