Staff Software Engineer, Infrastructure (Distributed Systems)

• Join Anthropic's Infrastructure organisation, which builds and operates the distributed systems that train, serve, and secure AI models. • Work across data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team depends on. • Scope and lead complex, multi-month infrastructure projects, make architectural decisions other engineers build on, and partner with research and product teams. • Team placement happens after the interview process based on your interests and experience alongside organisational needs.

• Have experience designing, building, and operating large-scale distributed systems or infrastructure in production. • Have a history of independently scoping and delivering complex, ambiguous, multi-month technical projects. • Have experience making architectural decisions that other engineers and teams build on. • Have strong software engineering fundamentals and proficiency in at least one programming language such as Python, Rust, Go, or Java. • Have experience with modern cloud infrastructure including Kubernetes and infrastructure-as-code on AWS and/or GCP. • Have strong written and verbal communication skills with experience driving alignment across teams or stakeholders.

• Have 10+ years of software engineering experience, not including internships. • Have experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL. • Have low-level systems experience such as Linux kernel tuning or eBPF. • Have a background in security or privacy engineering best practices. • Have prior experience as a technical lead or mentor for other engineers.

• Independently scope and lead complex, multi-month infrastructure projects from an ambiguous starting point through to a production system. • Make architectural decisions that shape the foundation other engineers and teams build on. • Drive alignment on technical direction across teams, working through ambiguous problem spaces. • Partner with research and product teams to understand their infrastructure and compute needs and turn them into technical designs. • Own the reliability, scalability, and security of the systems you build as usage and complexity grow. • Set technical strategy and standards for your team's infrastructure. • Build and improve operational processes such as incident response, postmortems, and on-call rotations so the team learns from every incident. • Mentor other engineers and help raise the technical bar for the team.

• 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.