Software Engineer, Infrastructure, Interpretability (AI)

Location: San Francisco, United States; based in the San Francisco office with at least 25% office attendance expected. Exceptional candidates may be considered for remote work case by case.

Annual salary: $405,000–$485,000 USD

Company

Anthropic is a public benefit corporation developing reliable, interpretable, and steerable AI systems.

What you will do

• Design, build, and own shared infrastructure for interpretability research, including research environments, data systems, and compute tooling.
• Build secure-by-default and privacy-focused access patterns for frontier model research.
• Manage research data at petabyte scale, including storage lifecycle, capacity planning, and cost efficiency.
• Develop scheduling, accelerator fleet management, developer tooling, and observability systems.
• Lead cross-functional initiatives with agentic engineering, security, compute, storage, platform, and research teams.
• Help turn interpretability methods and research code into dependable audit pipelines.

Requirements

• High proficiency in at least one programming language such as Python, Rust, Go, or Java, with strong productivity in Python.
• Significant experience building and operating secure, scalable infrastructure, including cloud systems, distributed systems, or developer tooling.
• Strong cross-functional communication skills and the ability to work with both researchers and platform or security teams.
• Ability to prioritize high-impact work, operate with ambiguity, question assumptions, and learn unfamiliar domains.
• Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.
• Based in the San Francisco office with at least 25% office attendance expected; exceptional remote arrangements may be considered case by case.

Nice to have

• Experience with GCP or AWS, Kubernetes, networking, and infrastructure as code.
• Security engineering experience in identity, authentication, access management, sandboxing, or red teaming.
• Experience with data warehousing, large-scale storage, data lifecycle management, compute schedulers, or accelerator fleet management.
• Experience building developer productivity tooling, observability stacks, or research acceleration tools.
• Curiosity about interpretability research, AI safety, and the societal and ethical impacts of AI.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business disciplines.
• Work on large-scale AI research focused on steerable and trustworthy systems.
• Flexible working hours and a collaborative office environment.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.

Hiring process

• Applications are evaluated against the role’s technical and experience requirements.
• Candidates should review Anthropic’s policy on AI usage during the application process.