Anthropic
Staff+ Software Engineer, Developer Acceleration
$405K–$485K
San Francisco, CA +3 · Staff · Full-time · Posted Jul 2, 2026
- Location
- San Francisco, CA
Seattle, WA
New York, New York, United States
San Francisco, California, United States - Experience
- 10+ years building and operating large-scale distributed systems; 3+ years leading large-scale, complex projects or teams as an engineer or tech lead. Minimum years also correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Leads the strategy and hands-on development of agent runtime infrastructure and tooling that help Anthropic employees work productively with AI agents.
What you'll do
- Set technical strategy and roadmap; define quality standards for agent-driven engineering work.
- Build agent runtime platforms, harnesses, tooling, and evaluations to improve agent performance and correctness.
- Own infrastructure scalability, reliability, and operational excellence while collaborating across teams.
What they ask for
- 10+ years building and operating large-scale distributed systems.
- 3+ years leading large-scale, complex projects or teams as an engineer or tech lead.
- Extensive experience with agents doing technical or knowledge work.
- Experience building scalable platforms.
Nice to have
- Experience with container or VM orchestration at scale, or developer productivity/infrastructure such as CI/CD and builds.
- Experience building widely adopted CLI tools and services.
Pay
$405,000 — $485,000 USD annual base salary
Tools
agents, container, VM, CI/CD
AI focus
Build agent infrastructure and tooling, experiment with context management to improve agent performance and correctness, and evaluate agent behaviors.
Model-written summary · the original posting is authoritative