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

• 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.