Requirements

Currently pursuing a Master’s or 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 (academic, personal, hackathon, or research)
Experience with prompt engineering, RAG pipelines, knowledge graphs, or fine-tuning concepts
Practical exposure to at least one agentic framework or tool-orchestration pattern (e.g., LangChain, LangGraph, AutoGen, MCP) through projects or self-study

Nice to Haves

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 related to communication technologies such as LTE or 5G NR, or modem/embedded systems
Experience with Git and collaborative version control workflows
Good analytical and debugging skills with ability to work collaboratively in a team environment
Genuine curiosity about staying updated with the latest AI/ML tools, models, and research, and applying them to engineering solutions

Working at the intersection of cellular software test engineering and applied AI/ML automation
Collaborating with engineers to explore, prototype, and apply AI/ML tools and techniques to solve real problems
Contributing to modem/cellular test automation, log analysis, and defect triage
Gaining hands-on experience with production test systems
Helping shape the role of AI/ML in testing and validating next-generation connectivity products