Internship - Software Engineering - AI-Augmented Static Code Analysis

Responsibilities

• Prototype and evaluate approaches that combine AI with static code analysis.
• Build tooling to measure and compare the quality of analysis results in a consistent, repeatable way.
• Reason about individual findings — for example, distinguishing true positives from false positives, and understanding where deterministic checks fit versus AI-based reasoning.
• Experiment with large language models — including prompt design and model selection — for code-analysis tasks.
• Collaborate closely with engineers on the team and clearly document your design, experiments, and results.

Minimum Qualifications

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Computer Engineering, or a related field.
• Hands-on programming experience in C and/or C++ — you have actively written, debugged, or analyzed C/C++ code (e.g. in a university project or thesis) and are comfortable with the fundamentals: pointers, memory allocation, and structs. (You do not need to be a C++ expert.)
• Proficiency in at least one scripting language, Python strongly preferred.
• Strong analytical and problem-solving skills, and the ability to reason clearly about unfamiliar code — we care more about how you think through a problem than about a memorized answer.
• Good written and spoken English.

Preferred Qualifications

• Coursework, projects, or interest in static code analysis, program analysis, or software security.
• Familiarity with large language models (LLMs) and generative-AI tooling, and an intuition for where AI-based approaches help and where they don't.
• Familiarity with modern AI developer tools (e.g. LLM-assisted coding assistants).
• Exposure to open-source software development tools.
• A collaborative, curious, and self-driven attitude — comfortable working on an open problem where the right answer is not known in advance.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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