Staff + Senior Software Engineer, Inference

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><div> <div> <h2>About the role</h2> </div> <div> <p>Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.&nbsp; We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.</p> The team has a dual mandate: <strong>maximizing compute efficiency</strong> to serve our explosive customer growth, while <strong>enabling breakthrough research</strong> by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.</div> </div> <h2>You may be a good fit if you:</h2> <ul> <li>Have significant software engineering experience, particularly with distributed systems</li> <li>Are results-oriented, with a bias towards flexibility and impact</li> <li>Pick up slack, even if it goes outside your job description</li> <li>Enjoy pair programming (we love to pair!)</li> <li>Want to learn more about machine learning systems and infrastructure</li> <li>Thrive in environments where technical excellence directly drives both business results and research breakthroughs</li> <li>Care about the societal impacts of your work</li> </ul> <h2>Strong candidates may also have experience with:</h2> <ul> <li>High-performance, large-scale distributed s