Anthropic
Staff Software Engineer, AI Reliability
$325K–$485K
San Francisco, CA +5 · Staff · Full-time · Posted Feb 7, 2026
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- Years of experience required will correlate with the internal job level requirements for the position.
- 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; Anthropic says it will make every reasonable effort to obtain a visa for candidates it offers a role.
About the job
Improve reliability across Anthropic’s AI serving paths by building observability and resilient infrastructure, setting service objectives, and coordinating incident response.
What you'll do
- Develop service-level objectives for LLM serving systems, balancing availability and latency with development velocity.
- Design and implement monitoring, observability, and high-availability serving infrastructure across regions and cloud providers.
- Lead incident response and reviews, drive reliability improvements, and support safeguard model serving.
What they ask for
- Strong background in distributed systems, infrastructure, or reliability engineering.
- Excellent communication and collaboration skills.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Relevant field of study, demonstrated through coursework, training, or professional experience.
Nice to have
- Experience operating large-scale model serving or training infrastructure (>1000 GPUs), or working with ML hardware accelerators.
- Experience with ML networking optimizations, AI observability, chaos engineering, or open-source infrastructure/ML tooling.
Pay
$325,000 — $485,000 USD (base salary)
Tools
SDK, GPUs, TPUs, Trainium, RDMA, InfiniBand
AI focus
Reliability engineering for AI and safeguard model serving, supporting reliable and safe delivery of Claude.
Model-written summary · the original posting is authoritative