Staff Software Engineer (AI Reliability)

• AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths — every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back
• We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects
• Reliability here is an emergent phenomenon that transcends any single team’s boundaries, so someone has to zoom out and look at the whole picture. That’s us — and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most
• Claude has your back. AIRE has Claude’s. Help us keep Claude reliable for everyone who depends on it
• Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
• Design and implement monitoring and observability systems across the token path
• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers
• Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
• Support the reliability of safeguard model serving — critical for both site reliability and Anthropic’s safety commitments

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• We require at least a Bachelor’s degree in a related field or equivalent experience
• Think holistically about how systems compose and where the seams are
• Have contributed to open-source infrastructure or ML tooling
• Bring diverse experience — the team’s strength comes from people who’ve built product stacks, scaled databases, run massive distributed systems, and everything in between
• Understand ML-specific networking optimizations like RDMA and InfiniBand
• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs)
• Are curious and brave — comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don’t have deep expertise yet
• Care about users and feel ownership over outcomes, even for systems you don’t own
• Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium)
• Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
• Can build lasting relationships across teams — our engagement model depends on being welcomed as teammates, not outsiders with opinions
• We encourage you to apply even if you do not believe you meet every single qualification
• Have expertise in AI-specific observability tools and frameworks
• Have experience with chaos engineering and systematic resilience testing
• Have excellent communication and collaboration skills — you’ll be partnering across the entire company
• Have strong distributed systems, infrastructure, or reliability backgrounds — we’re looking for reliability-minded software engineers and SREs