Model Performance Software Engineer, Claude Code

<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><h2 class="heading"><strong>About the Role</strong></h2> <p>We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.</p> <h2 class="heading"><strong>Responsibilities</strong></h2> <ul> <li> <p>Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team</p> </li> <li> <p>Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap</p> </li> <li> <p>Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years</p> </li> <li> <p>Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion</p> </li> <li> <p>Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them</p> </li> <li> <p>Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale</p> </li> <li> <p>Partner with research leads to translate ambiguous research questions into durable engineering solutions</p> </li> <li> <p>Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health</p> </li> </ul> <h2 class="heading"><strong>You may be