Software Engineering Intern – AI Tools for Hardware Engineering
- 🇨🇳 China
- On-site
- Internship
- 1 month ago
- AI
- Test Automation
- Python
- TypeScript
- React.js
- Next.js
- SQL
- AI/ML
- REST API
- Hugging Face
- LangChain
- TensorFlow
- PyTorch
- LLM APIs
- FastAPI
- Flask
- Django
- Node.js
- PostgreSQL
- Redis
- Qdrant
- Pinecone
- FAISS
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.
Software Engineering Intern – AI Tools for Hardware Engineering · Apple