# Software Engineering Intern

**Company:** [Western Magnetics](http://jobs.workable.com/companies/kPCHmShYWzuv4inHvTUkSN.md)
**Location:** South San Francisco, United States
**Workplace:** on site
**Employment type:** Other
**Department:** Internships

[Apply for this job](http://jobs.workable.com/view/6267d6b9-c57b-483d-b9fd-7af65fde01ad)

## Description

We’re looking to hire a **Software Engineering Intern** who is highly technical, curious, and already comfortable building software in an AI-native development environment.

The person will work directly on our production software stack, including our ERP/MES platform, infrastructure, internal tools, and emerging AI/agent systems. They may build product features, integrations, AI-driven workflows, developer tooling, agent harnesses, reusable skills, evaluation systems, and tools that help LLMs effectively interact with our codebase, data, and manufacturing systems.

We care significantly more about **what someone has actually built and how they think** than their exact degree, GPA, or number of years of experience.

## Requirements

### Must-haves

-   Hands-on experience with modern AI coding tools such as **Claude Code, Codex, Cursor, or similar**
-   Strong practical understanding of **LLMs and how to build effectively with them**
-   Experience building real software projects outside of basic coursework
-   Comfortable with Git, APIs, databases, and modern software development practices
-   Currently enrolled in or recently completed a software engineering, computer science, or related technical program
-   Eligible to work in the United States

### Particularly Strong Signals

-   Strong programming ability, ideally in **Python and/or TypeScript/JavaScript**
-   Has built their own **agents, skills, tools, or AI development harnesses**
-   Understands context management and how to give models the right information at the right time
-   Has experimented with multi-agent or agentic coding workflows
-   Has built evaluations or testing systems for LLM-powered applications
-   Experience with RAG, knowledge graphs, embeddings, or semantic retrieval
-   Experience with cloud infrastructure, containers, data engineering, computer vision, robotics, or manufacturing systems
-   Strong GitHub, personal project, hackathon, or open-source portfolio