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Salary: USD 320,000 - 485,000 / annual
Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure AI models. In this Staff+ role, you will work directly with Research teams to build reliable, scalable, performant infrastructure that enables cutting-edge AI research.
You will independently scope and lead complex, multi-month infrastructure projects from ambiguous starting points through production deployment. This is a cross-functional systems role where you'll resolve performance and scalability bottlenecks that limit research velocity. Key responsibilities include:
- Independently scope and lead complex, multi-month infrastructure projects from conception to production
- Build deep partnerships with researchers and Research teams to understand their needs and deliver solutions
- Mentor other engineers and raise the technical bar for the team
- Build alignment on technical direction across multiple teams in ambiguous problem spaces
- Own the reliability, scalability, and security of systems as usage and complexity grow
- Lead improvements to operational processes across Infrastructure, including incident response, postmortems, and on-call rotations
Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. The team is collaborative and values impact over incremental work. Research directions include interpretability, scaling laws, AI safety, and learning from human preferences.
Location-based hybrid policy: Currently, all staff are expected to be in one of the offices at least 25% of the time, though some roles may require more time on-site. The role is remote-friendly with offices in San Francisco, Seattle, and New York City. Visa sponsorship is available.
REQUIREMENTS:
Minimum qualifications:
- Experience designing, building, and operating large-scale distributed systems or infrastructure in production
- Experience independently scoping and delivering complex, ambiguous, multi-month technical projects
- Prior experience as a technical lead or mentor for other engineers
- 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 (Python, Rust, Go, Java)
- Experience with modern cloud infrastructure (Kubernetes, infrastructure as code, AWS, GCP)
- Strong written and verbal communication skills with experience building alignment across multiple teams or stakeholders
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Field of study relevant to the role as demonstrated through coursework, training, or professional experience
Preferred qualifications:
- 10+ years of software engineering experience (not including internships)
- Experience with machine learning infrastructure (GPUs, TPUs, Trainium) and associated networking infrastructure (NCCL)
- Low-level systems experience (Linux kernel tuning, eBPF)
- Experience applying security or privacy engineering best practices
