At Wireless Technologies & Ecosystems (WTE) team, we are looking for a motivated
and curious intern to join our team working at the intersection of cellular software test
engineering and applied AI/ML automation. The intern will work alongside engineers
to explore, prototype, and apply the latest AI/ML tools and techniques to solve real
problems in modem/cellular test automation, log analysis, and defect triage. The ideal
candidate is not just familiar with AI/ML concepts from coursework but has hands-on
experience building and experimenting with current-generation tools - LLM APIs,
agentic frameworks, RAG pipelines, and NLP libraries - and is eager to bring that
curiosity to a fast-evolving, high-impact engineering domain.
Description
If you are a student who lives at the cutting edge of AI/ML - always experimenting
with the newest models, frameworks, and techniques - and want to apply that
curiosity to solve real, high-impact problems in cellular software testing, this
internship offers a rare opportunity to work at the intersection of two fast-moving fields.
You'll gain hands-on experience with production test systems while helping shape how
AI/ML transforms the way we test and validate next-generation connectivity products.
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.