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

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.