Software Engineering Intern – AI Tools for Hardware Engineering

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imaging what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. 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.

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. Experience with AI/ML frameworks (e.g., Hugging Face, LangChain, 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.