Summary

Our System Hardware Engineering Team builds and validates next-generation hardware systems. We are looking for an intern passionate about AI and software engineering to help us design and implement internal AI-powered tools that accelerate hardware design, testing, and analysis workflows.

This role offers a unique opportunity to work at the intersection of AI, software, and hardware engineering, learning how AI can transform engineering productivity at scale.

Description

As an intern, you will:
- Design and prototype AI-driven tools that support hardware engineers in data analysis, test automation, and debugging workflows.
- Implement backend services in Python and frontend interfaces in TypeScript (React/Next.js).
- Integrate databases (SQL, vector databases) for data storage, search, and retrieval.
- Explore AI/ML workflows (embeddings, retrieval, summarization, code assistance).
- Collaborate with hardware and software engineers to translate requirements into working tools.
- Write clear documentation, tests, and deployment scripts.

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or related fields.
• Proficiency in Python with type hints and TypeScript (comfortable reading and writing code).
• Basic knowledge of web development (HTTP, REST APIs, frontend frameworks).
• Familiarity with databases (SQL queries, schema design).
• Strong problem-solving skills and curiosity to learn.
• Able to commit to a minimum 4 months full-time internship (preference for 6 months).
• Good written and spoken English communication skills.

Preferred Qualifications

• Experience with AI/ML frameworks (e.g., Hugging Face, LangChain, TensorFlow/PyTorch, or LLM APIs).
• Familiarity with at least one of FastAPI, Flask, Django or Node.js for web backend development.
• Hands-on knowledge of React/Next.js for web frontend development.
• Experience with PostgreSQL, Redis, or vector databases (e.g., Qdrant, Pinecone, FAISS).
• Interest in system hardware engineering workflows (test automation, data analysis, hardware validation).
• Enthusiastic, self-driven, and comfortable working in a collaborative engineering environment.

EEO Statement

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace