Staff+ Software Engineer, Infrastructure (Distributed Systems)

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

As a Staff+ Software Engineer on our Infrastructure team, you will independently scope and lead complex, multi-month infrastructure projects, make architectural decisions that shape the foundation of infrastructure other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.

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 of infrastructure other engineers and teams build on
• Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
• Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
• Take ownership of 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, that help the team learn 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 track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
• Experience making architectural decisions that other engineers and teams build on top of
• 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 multiple 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 infrastructure 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: $320,000-$485,000 USD
• 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
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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!