AI Infrastructure Systems Engineer

<h3><strong>Build the infrastructure powering the next generation of AI.</strong></h3> <p>At Together AI, you’ll build and operate one of the world’s largest GPU fleets used for frontier model training and inference. This isn’t a traditional infrastructure role—we’re looking for engineers who love building systems, automating everything, and solving problems at massive scale.</p> <p><strong>You’ll Thrive Here If You:</strong></p> <ul> <li>Love building systems that replace repetitive operational work.</li> <li>Think of infrastructure as a software engineering problem.</li> <li>Enjoy solving hard problems with no existing playbook.</li> <li>Care deeply about performance, reliability, and scale.</li> <li>Want to build technology that powers frontier AI models.</li> </ul> <p><strong>Our mission is simple:</strong> build AI infrastructure that largely runs itself—where intelligent systems deploy, monitor, diagnose, optimize, and heal GPU fleets at massive scale. Every system you build will directly improve the speed, efficiency, and reliability of one of the world’s most advanced AI compute platforms.</p> <p>If you enjoy writing software more than clicking dashboards, obsess over eliminating manual work, and want to build infrastructure that manages tens of thousands of GPUs autonomously, we’d love to talk.</p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Design and build <strong>fleet automation systems</strong> that provision, validate, deploy, upgrade, repair, and retire GPU clusters with minimal human intervention.</li> <li>Build <strong>AI Infrastructure Agents</strong> that automate deployment, root-cause failures, incident triage, and autonomous remediation.</li> <li>Develop <strong>Fleet Intelligence</strong> platforms that continuously monitor hardware health, firmware, networking, storage, thermals, and workload performance to predict failures before they impact customers.</li> <li>Build software that maximizes <strong>GPU availability, utilization, per