[Pipeline] Staff+ Software Engineer, Systems

<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><h3><strong>About the Role</strong></h3> <p>Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.</p> <p>The Systems engineering team owns compute uptime and resilience at massive scale, building the clusters, automation, and observability that make frontier AI research possible and safely deployable to customers. </p> <p><em>Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. </em></p> <h3><strong>Responsibilities</strong></h3> <ul> <li>Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans</li> <li>Drive cross-team initiatives to build and scale AI clusters (thousands to hundreds of thousands of machines)</li> <li>Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others</li> <li>Partner with cloud providers and internal stakeholders to shape long-term compute, data, and infrastructure strategy</li> <li>Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)</li> </ul> <p><strong>You may be a good fit if you:</strong></p> <ul> <li>Have 10+ years of software engineering experience</li> <li>Have led complex, multi-quarter technical initiatives that span multiple teams or systems</li> <li>Can set technical direction for a team, not just execute within it</li> <li>Have deep expertise in distributed systems, reliability, and cloud platforms (Kubernetes, IaC, AWS/GCP)</li> <li>Are strong in at least one systems language (Python, Rust, Go, Java)</li> <li>Naturally uplevel the engineers around you and can redirect efforts when things are heading off track</li> <li>Build alignment across senior stakeholders and communicate effectively at all levels</li> </ul> <p><strong>Strong candidates may have:</strong></p> <ul> <li>Security and privacy best practice expertise</li> <li>Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL</li> <li>Low level systems experience, for example linux kernel tuning and eBPF </li> <li>Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems</li> </ul> <p><em>Deadline to apply: None. Applications will be reviewed on a rolling basis.</em></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$405,000</span><span class="divider"></span><span>$485,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Education requirements: </strong>We require at least a Bachelor's degree in a related field or equivalent experience.<strong><br><br>Location-based hybri ... (truncated, view full listing at source)