# Staff Software Engineer, Environments Infrastructure

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $405,000-$605,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5367436008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0f8d24a2-2d5

## Description

Anthropic's Environments organisation builds and maintains infrastructure that improves Claude's capabilities through reinforcement learning. You will embed with research teams, design frameworks and APIs, and productionize research.

Key responsibilities:

- Design widely used APIs, frameworks, and abstractions for other engineers and researchers.

- Own platform layers beneath every environment, including the agent runtime.

- Build tooling for environment owners to understand, debug, and maintain their environments in production.

- Embed with research teams on a rotational basis and transfer ownership when rotating off.

- Anticipate and prevent silent failure modes through type safety, testing, and refactors.

- Drive adoption of new frameworks across the organisation.

- Help define engineering standards and mentor researchers and engineers.

Minimum qualifications:

- Deep expertise in Python, including static typing and safe async patterns.

- Strong taste in API and framework design.

- Experience designing or operating stateful concurrent or distributed systems.

- Habit of verification: measuring before concluding and building checks for correctness.

- Experience working productively in large, evolving codebases.

- Strong written and verbal communication.

Preferred qualifications:

- Experience building infrastructure or frameworks for machine learning research or RL workflows.

- Experience building agent frameworks, orchestration engines, or multi-agent systems.

- Experience using AI coding tools on code where correctness matters.

- Experience building client libraries or SDKs on top of sandboxed platforms.

- Experience with large-scale data processing or dataset lifecycle management.

The annual compensation range for this role is $405,000-$605,000 USD.

## Skills

### Required
- Python
- API design
- framework design
- distributed systems
- verification

### Nice to have
- machine learning research
- RL workflows
- agent frameworks
- AI coding tools
- sandboxed platforms
- data processing

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5367436008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)