Internship - Software Engineering - On-Demand Agent Provisioning in Cellular Test
Apple· Wireless Technologies & Ecosystems (WTE)
Hybrid (Munich)internPosted 3d ago
About the role
Internship role at Apple’s Wireless Technologies & Ecosystems team focused on applying AI/ML to cellular test automation, log analysis, and defect triage. Hands-on development of AI/ML-powered tools, agents, and pipelines to enhance modem/cellular testing and validation.
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.
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 applying LLMs, NLP, or generative AI
- 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)
- 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.
Skills
Required:PythonLLMs/NLP/Generative AIPrompt engineeringAgentic frameworks / tool orchestration
Nice to have:C/C++/Objective-C/SwiftUIREST APIs / SQL/NoSQL
Last updated Oct 23, 2026. Interested? Apply on the company site.
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