
Staff Software Engineer, AI Reliability
About this role
The Staff Software Engineer, AI Reliability position at Anthropic involves enhancing the resilience of critical serving paths for Claude across San Francisco, New York City, or Seattle. This role suits professionals with a strong background in distributed systems who want to tackle large-scale infrastructure challenges.
Role Overview
Anthropic is looking for a Staff Software Engineer to join the AI Reliability Engineering team. This group collaborates across the organization to optimize reliability spanning from the SDK and network layers to serving infrastructure and accelerators. The position offers cross-cutting exposure to critical systems, ensuring that large language model serving paths remain robust and resilient.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Anthropic functions as a public benefit corporation dedicated to building reliable, interpretable, and steerable artificial intelligence systems that benefit society. The organization approaches AI research as an empirical science, operating as a single cohesive team focused on large-scale research initiatives and safety commitments.
How to Apply
Interested candidates should submit an application through the official Anthropic careers page.
Questions candidates ask
What locations are available for this role?
The position is based out of San Francisco, CA, New York City, NY, or Seattle, WA, with a hybrid policy requiring time in the office at least 25% of the time.
What is the salary range for the Staff Software Engineer position?
The annual base salary ranges from $325,000 to $485,000 USD.
Does Anthropic offer visa sponsorship for this role?
Yes, Anthropic provides visa sponsorship and retains an immigration lawyer to assist candidates who receive an offer, though sponsorship cannot be guaranteed for every applicant.
What are the core duties of the AI Reliability Engineering team?
The team partners across Anthropic to improve reliability along critical serving paths, handle incident responses, develop Service Level Objectives, and implement monitoring across token paths.
What education or experience is required to apply?
Applicants need a Bachelor’s degree in a relevant field or an equivalent combination of education, training, and experience, alongside a background in distributed systems, infrastructure, or reliability.