Internship - Software Engineering - On-Demand Agent Provisioning in Cellular Test

Responsibilities

• Prototype LLM-powered tools and agentic workflows to automate or accelerate test execution, results analysis, defect triage, or findings summarization
• Experiment with the latest AI/ML models, frameworks, and techniques (agentic frameworks, RAG, prompt engineering) and evaluate their applicability to end-to-end test automation
• Build small proof-of-concept NLP pipelines for test initiation, monitoring, log parsing, root cause analysis and extracting important insight that drive corrections / changes in future test campaigns
• Collaborate with engineers to integrate promising AI/ML prototypes into existing test tooling
• Present findings and demos on new AI/ML techniques explored during the internship, contributing to the team's understanding of emerging trends
• Learn cellular technologies testing strategies and automation workflows for modem/ cellular testing under the guidance of senior engineers.

Minimum Qualifications

• Currently pursuing a Master’s / PhD degree in Computer Science, Computer Science Engineering, or a related field
• Strong proficiency in Python, including scripting, OOP fundamentals, and clean coding practices
• Hands-on project experience (academic, personal, hackathon, or research) applying LLMs, NLP, or generative AI - not just theoretical coursework knowledge
• Good experience with prompt engineering, RAG pipelines, knowledge graphs or fine-tuning concepts
• Practical exposure to at least one agentic framework or tool-orchestration pattern (LangChain, LangGraph, AutoGen, MCP, or similar), through projects or self-study.

Preferred Qualifications

• Basic understanding of C/C++/Objective C/SwiftUI or a comparable programming language
• Understanding of data structures, algorithms, and problem-solving fundamentals
• Exposure to REST APIs and SQL/NoSQL databases
• Interest in or coursework exposure to communication technologies (LTE, 5G NR) or modem/embedded systems would be an added advantage
• Experience with Git and collaborative version control workflows
• Good analytical and debugging skills, with the ability to work collaboratively in a team environment
• Genuine curiosity about staying current with the latest AI/ML tools, models, and research, and translating that into applied engineering solutions.

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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