# Research Engineer / Performance Engineer, RL Distributed Systems at Anthropic

> Open role observed by RunReq as of 2026-10-15T00:26:38.491034+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA \| New York City, NY \| Seattle, WA
- Team: AI Research & Engineering
- Compensation: $500K–$850K /YR
- First observed: 2026-09-30T01:48:05.882666+00:00
- Days open: 15
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5438030008)

## Shortened description

### Key responsibilities

- Design, build, and operate distributed systems for RL training, sampling, and environment execution.
- Remove limits in scheduling, data movement, storage, networking, coordination, and resource management.
- Build fault tolerance, autoscaling, observability, and automation that keep long running jobs progressing.
- Work with researchers to preserve training correctness and remove recurring failures through testing, incident review, and redesign.

### Qualifications needed

- Use Python and at least one systems language such as Rust, C++, or Go.
- Design, build, and operate large distributed systems in production.
- Understand distributed systems fundamentals and debug failures across hosts and services.
- Have a Bachelor’s degree or equivalent education, training, or experience in a relevant field.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 7
- Company median days open: 55

## Interpretation

- RunReq records observed job postings; it does not show applicant volume or completed hires.
- The linked employer posting is authoritative for the full description and application process.
- Human-readable job page: http://runreq.com/jobs/2a568642-e629-8928-8f8a-60db0a266141
- Site-wide agent directory: http://runreq.com/llms.txt