Internship - Agentic AI for Product and Test Engineering

Infineon Technologies; Singapore; On-site; SGD 16,740 - 27,900; Part time

Job summary

Infineon Technologies invites students to contribute to the System on Product and Test Engineering (PTE) team. You’ll work on TriCore-based AurixRC1 and PSOC, developing MCP servers, enhancing RAG pipelines, and automating test workflows.

You’ll gain hands-on experience in agentic AI, RAG/LLM development, and semiconductor test engineering, while applying software engineering best practices and REST integrations.

Qualifications

• Bachelor’s or Master’s in Computer Science, Computer Engineering, Electronics or related field.
• Proficient in Python handling REST/requests, Pydantic, and virtual environments.
• Familiar with LLMs, RAG, or agentic AI frameworks.
• Comfortable with Git and reading/consuming REST APIs.
• Nice to Have: Exposure to ChromaDB/vector databases, Streamlit, Playwright.

Responsibilities

• Develop and extend Python-based MCP servers that integrate REST APIs of internal engineering tools.
• Build and improve the RAG pipeline (document ingestion, vector store, retrieval).
• Contribute to the agent orchestration layer that automates test requirement-to-code workflow.
• Write clean, tested Python code and document work in Git.
• Validate agent outputs against real test-engineering use cases and iterate on tooling.

Skills

Python proficiency

REST/requests

Git

LMM/RAG interest

Education

Bachelor’s or Master’s in Computer Science/Computer Engineering/Electronics

Tools

ChromaDB

Streamlit

Playwright

Job description

The student, as part of the System on Product and Test Engineering (PTE) team and under the guidance of an assigned mentor, will undertake projects working on Infineon's flagship TriCore-based Automotive Micro-controllers AurixRC1 and PSOC.

Your Role

• MCP Server Development: Develop and extend Python-based MCP servers that integrate REST APIs of internal engineering tools (Jira, JAMA, PTV3, TsSLiM).
• RAG Pipeline Engineering: Build and improve the RAG pipeline (document ingestion, vector store, retrieval) used to ground the AI agents.
• Orchestration & Automation: Contribute to the agent orchestration layer that automates the test requirement-to-code workflow.
• Code Quality & Documentation: Write clean, tested Python code and document your work in Git.
• Validation & Iteration: Validate agent outputs against real test-engineering use cases and iterate on prompt/tooling quality.

Internship Learning Outcomes

• Agentic AI (MCP): Hands‑on experience building agentic AI systems with the Model Context Protocol (MCP).
• RAG & LLM Development: Practical RAG and LLM application development (ChromaDB, sentence-transformers, LangChain).
• Semiconductor Test Engineering Exposure: Exposure to real semiconductor product test‑engineering workflows and data systems.
• Software Engineering Practices: Software engineering best practices: REST integration, Pydantic validation, Git, testing.

Your Profile

Qualifications And Skills To Help You Succeed

• Education: Bachelor’s or Master’s in Computer Science, Computer Engineering, Electronics or related field.
• Python Proficiency: Proficient in Python (REST/requests, Pydantic, virtual environments).
• LLM/RAG Interest: Familiar with or keen to learn LLMs, RAG, or agentic AI frameworks.
• API & Version Control: Comfortable with Git and reading/consuming REST APIs.
• Nice to Have: Exposure to ChromaDB/vector databases, Streamlit, Playwright, or semiconductor test concepts.
• Preferred Intake: Jan 27 – May/June 27.

Contact: Hillary Woo

Infineon Technologies Americas Corp., is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Employment at Infineon is contingent upon proof of your legal right to work in the United States under applicable law, verification of satisfactory references and successful completion of a background check and drug test, and signing all your on‑boarding documents.

In some instances, if applicable, U.S. export control laws require that Infineon obtain a U.S. government export license prior to releasing technologies to certain persons. This offer is contingent upon Infineon's ability to satisfy these export control laws as related to your employment and anticipated job activities. The decision whether or not to submit and/or pursue an export license to satisfy this contingency, if applicable, shall be at Infineon's sole discretion.

Infineon Technologies takes data privacy and identity theft very seriously. As such, we do not request personally-identifiable information (PII) from applicants over the internet or electronically. Please kindly refrain from disclosing your PII electronically during the application process or to unauthorized websites that may purport to be Infineon or any of our affiliates.