# Software Engineer, Research Infrastructure

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $405,000-$625,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5283063008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0284c23a-97a

## Description

Anthropic's Research Productivity organization builds infrastructure and systems to accelerate research. We're seeking an experienced software engineer to scale this infrastructure as demand grows rapidly.

This team operates like a startup within a startup. You'll scope complex projects, drive cross-org alignment, and make architectural decisions shaping research infrastructure.

## Responsibilities

- Design, build, and scale infrastructure supporting rapidly increasing usage

- Independently scope and lead complex, multi-month engineering projects

- Drive cross-organizational alignment on technical direction

- Make architectural decisions shaping research infrastructure and tooling

- Partner with researchers to understand workflows and anticipate changing requirements

- Iterate quickly, favoring pragmatic solutions and fast feedback loops

- Ensure reliability and scalability of critical systems

- Help set technical standards and mentor other engineers

## Minimum Qualifications

- Experience designing, building, and operating large-scale distributed systems

- Track record of delivering complex, ambiguous projects

- Strong software engineering fundamentals and hands-on coding ability

- Experience making architectural decisions

- Strong written and verbal communication skills

- Ability to operate in ambiguous environments

## Strong candidates may also have

- Experience building infrastructure for research or machine learning workflows

- Direct experience navigating rapid system scaling challenges

- Experience with distributed systems, cloud infrastructure, and infrastructure-as-code

- Familiarity with large-scale machine learning research needs

- Experience operating in a startup-like environment

- Prior experience as a technical lead or mentor

The annual compensation range for this role is $405,000-$625,000 USD.

## Skills

### Required
- large-scale distributed systems
- software engineering
- architectural decisions
- cross-organizational alignment
- technical leadership

### Nice to have
- infrastructure-as-code
- distributed systems
- cloud infrastructure
- machine learning research
- startup environment

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5283063008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)