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We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.</p>\n<p><strong>About the role</strong></p>\n<p>As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.</p>\n<p>Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.</p>\n<p>Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Build and maintain automation systems for provisioning and managing server fleets.</li>\n</ul>\n<ul>\n<li>Develop tools to monitor server health, performance, and lifecycle events.</li>\n</ul>\n<ul>\n<li>Collaborate with clusters, networking, and infrastructure teams.</li>\n</ul>\n<ul>\n<li>Partner with external operators to ensure a high level of quality.</li>\n</ul>\n<ul>\n<li>Identify and fix performance bottlenecks and inefficiencies.</li>\n</ul>\n<ul>\n<li>Continuously improve automation to reduce manual work.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>Experience managing large-scale server environments.</li>\n</ul>\n<ul>\n<li>A balance of strengths in building and operationalizing.</li>\n</ul>\n<ul>\n<li>Proficiency in Python, Go, or similar languages.</li>\n</ul>\n<ul>\n<li>Strong Linux, networking, and server hardware knowledge.</li>\n</ul>\n<ul>\n<li>Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.</li>\n</ul>\n<p><strong>Prior hardware expertise is not required for this role.</strong></p>\n<p><strong>Bonus Skills:</strong></p>\n<ul>\n<li>Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)</li>\n</ul>\n<ul>\n<li>Knowledge of hardware management protocols (e.g., IPMI, Redfish).</li>\n</ul>\n<ul>\n<li>High-performance computing (HPC) or distributed systems experience.</li>\n</ul>\n<ul>\n<li>Prior experience developing, managing, or designing hardware.</li>\n</ul>\n<ul>\n<li>Familiarity with monitoring tools (e.g., Prometheus, Grafana).</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.</p>\n<p><strong>About the role</strong></p>\n<p>As a software engineer on the Fleet High Performance Computing (HPC) team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.</p>\n<p>Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. 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Even a single hardware failure can derail a large-scale training run, so minimizing disruptions is core to the mission.</p>\n<p>Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who goes deep - who thrives on root-causing system-level issues and building automation to catch and fix problems at scale.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own and improve the system health checks that keep our hyperscale supercomputers stable during model training.</li>\n</ul>\n<ul>\n<li>Lead deep dives into hardware failures and system-level bugs to understand how things break at scale.</li>\n</ul>\n<ul>\n<li>Build automation that monitors and fixes issues across thousands of machines - so researchers can keep moving without interruption.</li>\n</ul>\n<p><strong>You might thrive in this role if you have:</strong></p>\n<ul>\n<li>7+ years of industry experience in software engineering</li>\n</ul>\n<ul>\n<li>Proficiency with Python and shell scripting</li>\n</ul>\n<ul>\n<li>A high degree of comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool necessary</li>\n</ul>\n<ul>\n<li>Experience developing reproducible analyses</li>\n</ul>\n<ul>\n<li>A balance of strengths in building and operationalizing</li>\n</ul>\n<p>Prior hardware expertise is not required for this role.</p>\n<p><strong>Bonus if you have:</strong></p>\n<ul>\n<li>Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)</li>\n</ul>\n<ul>\n<li>Experience with visualization of large data centers and networks.</li>\n</ul>\n<ul>\n<li>Expertise with network operations and tooling</li>\n</ul>\n<ul>\n<li>Expertise with power management and stabilization</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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