Anthropic· Engineering & Design - Product· San Francisco, CA | New York City, NY
Model Quality Software Engineer, Claude Code
Classified Tasks (13)
Automate 0%Augment 38%Human-Only 62%
Augment (5)
AI assists, human decides
Architect systems, tooling, and evaluation infrastructure to accelerate research throughput.
technical
Architect evaluation frameworks that measure model coding capabilities across diverse coding tasks and scale with the research roadmap.
technical
Lead the design of infrastructure that enables researchers to run experiments at scale.
technical
Partner directly with researchers and engineering leadership to define measurement strategies and improvement plans for Claude's coding capabilities.
analytical
Own critical systems end-to-end, including architecture, production reliability, and long-term health.
operational
Human-Only (8)
Requires human judgment
Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team.
leadership
Make foundational tradeoffs in infrastructure design that shape long-term team operations.
leadership
Identify high-leverage engineering investments proactively and drive them to completion.
leadership
Serve as a senior technical bridge between product and research to influence which capabilities are prioritized and how progress is measured.
communication
Partner with research leads to translate ambiguous research questions into durable engineering solutions.
technical
Mentor engineers, review designs, and raise engineering standards across the team.
leadership
Unblock peers by resolving technical obstacles and design issues.
operational
Make technical decisions and accept accountability for their impact across the team and broader organization.
leadership
Job description
About Anthropic 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. About the Role 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. Responsibilities Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap 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 Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion 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 Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale Partner with research leads to translate ambiguous research questions into durable engineering solutions Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction Are a power user of agentic coding tools with deep intuition about model capabilities and limitations Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of Are energized by working at the boundary between engineering and AI resear