Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
About the role
Anthropic's Infrastructure organisation builds and operates the distributed systems that train, serve, and secure our AI models. This includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on.
As a Staff Software Engineer on the Infrastructure team, you'll scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work with research and product teams to build systems that keep pace as their needs change.
Key responsibilities
- 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
Minimum qualifications
- Experience designing, building, and operating large-scale distributed systems or infrastructure in production
- A history of independently scoping and delivering complex, ambiguous, multi-month technical projects
- Experience making architectural decisions that other engineers and teams build on
- Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java)
- Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
- Strong written and verbal communication skills, with experience driving alignment across teams or stakeholders
Preferred qualifications
- 10+ years of software engineering experience, not including internships
- Experience with machine learning infrastructure such as GPUs, TPUs, or Trainium, and associated networking like NCCL
- Low-level systems experience, such as Linux kernel tuning or eBPF
- Background in security or privacy engineering best practices
- Prior experience as a technical lead or mentor for other engineers
Logistics
- Annual Salary: £325,000-£390,000 GBP
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- Visa sponsorship: We do sponsor visas.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.