# Software Engineer, Infrastructure, Interpretability

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** DevOps / SRE
**Salary:** $320k – $485k/yr
**Skills:** Python, Rust, Go, Java, GCP, AWS, Kubernetes, Networking, Infrastructure As Code, identity and access management, sandboxing, Data Warehousing, storage systems, Observability
**Posted:** 2026-08-12

> Build secure, scalable infrastructure, data systems, compute tooling, and developer experiences for Anthropic’s Interpretability research team. The role partners closely with researchers, security, and platform teams and requires strong programming and infrastructure experience.

## Job Description

## Responsibilities
- Design, build, and own shared infrastructure for Interpretability, including research environments, data systems, and compute tooling.
- Lead cross-team efforts with agentic engineering, security, compute, and storage platform teams so company-wide solutions serve research needs.
- Discover and resolve major organization-wide developer experience issues.
- Help take interpretability methods from research code to dependable audit pipelines.

## Requirements
- High proficiency in at least one programming language, such as Python, Rust, Go, or Java, and productivity with Python.
- Significant experience building and operating secure, scalable software infrastructure, including cloud systems, distributed systems, or developer tooling.
- Strong cross-functional communication skills, working effectively with researchers, platform teams, and security teams.
- Curiosity about unfamiliar domains and interpretability research’s role in AI safety.
- Ability to prioritize impactful work, operate with ambiguity, and question assumptions.
- Care for the societal impacts and ethics of technical work.

## Nice-to-Haves
- Experience with cloud infrastructure, including Google Cloud or AWS, Kubernetes, networking, and infrastructure as code.
- Security engineering experience, including identity, authentication, access management, sandboxing, or red teaming.
- Experience with data warehousing, large-scale storage systems, and data lifecycle management.
- Experience with compute schedulers and accelerator fleet management.
- Experience building developer productivity tooling and observability stacks.
- Experience building tooling to accelerate research teams.

## Representative Projects
- Design and stand up a hardened research environment for experimentation with frontier model weights.
- Build lifecycle management for petabytes of research data, including visibility, retention, and cost efficiency.
- Build self-service scheduling and capacity tooling.
- Create observability that catches infrastructure regressions before they cost researchers valuable time.

## Compensation and Benefits
- Annual salary: **$320,000–$485,000 USD**.
- Minimum education: **Bachelor’s degree** or an equivalent combination of education, training, and experience.
- The role is based in the San Francisco office, with exceptional remote candidates considered case by case.
- Staff are currently expected to work from one of the company’s offices at least 25% of the time.
- Visa sponsorship may be available depending on the role and candidate.

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