Staff Software Engineer, AI Reliability Engineering

• Join the AI Reliability Engineering (AIRE) team, which partners with teams across Anthropic to improve reliability across the most critical serving paths. • Work across every hop from the SDK through the network, API layers, serving infrastructure, accelerators, and back. • Jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, during incidents and on collaborative projects. • Get dynamic, cross-cutting exposure to the systems that matter most — few teams at Anthropic offer this breadth.

• Have a strong distributed systems, infrastructure, or reliability background as a reliability-minded software engineer or SRE. • Be curious and brave, comfortable jumping into unfamiliar systems during an incident and helping drive resolution even without deep prior expertise. • Think holistically about how systems compose and where the seams are. • Build lasting relationships across teams, being welcomed as a teammate rather than an outsider with opinions. • Care about users and feel ownership over outcomes, even for systems you don't own. • Have excellent communication and collaboration skills for partnering across the entire company. • 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.

• Have been an SRE, Production Engineer, or in a similar reliability-focused role on large-scale systems. • Have experience operating large-scale model serving or training infrastructure (1,000+ GPUs). • Have experience with one or more ML hardware accelerators such as GPUs, TPUs, or Trainium. • Understand ML-specific networking optimisations like RDMA and InfiniBand. • Have expertise in AI-specific observability tools and frameworks. • Have experience with chaos engineering and systematic resilience testing. • Have contributed to open-source infrastructure or ML tooling.

• 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, which is critical for both site reliability and Anthropic's safety commitments.

• Receive an annual salary of £325k–£390k GBP. • Work from the London office with a hybrid policy requiring at least 25% office time. • Receive visa sponsorship with every reasonable effort made and an immigration lawyer retained to help. • Receive competitive compensation and benefits with optional equity donation matching. • Receive generous vacation and parental leave. • Enjoy flexible working hours.

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The company is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is a public benefit corporation headquartered in San Francisco with offices in London.