Internship - Software Engineering - AI-Assisted Baseband Debugging Evaluation, WTE

Summary

Posted: Oct 19, 2026

Weekly Hours: 40

Role Number: 20

Apple engineers have always focused on one person when they build software — the person who will use it. Working with them, you'll see why every Apple product and service feels intuitive and simple, and why every aspect of this group's work is built around a respect for the customer's needs. The Wireless Technologies & Ecosystems (WTE) team is looking for a highly qualified & self-motivated Intern with a passion for software development and applied AI to help us evaluate how Large Language Models can accelerate baseband debugging. Based in Germany, we are passionate about wireless technology and work closely with developers across Apple, worldwide. Speaking German is not required for this role.

Description

Innovation driven work environment which provides opportunities to innovate, to share and develop ideas in an open forum. In this internship you will design and build an evaluation framework that compares different strategies for applying Large Language Models to baseband debugging — from LLMs consuming pre-analyzed, structured debug data, to LLMs interacting directly with a debugger on raw coredumps and traces. You will develop the tooling needed to run these approaches end-to-end, define the metrics to compare them across cost, latency, and effectiveness, and document your findings and recommendations. We would be excited to have you join our team and work on products that millions of customers use daily! If this is you, we'd love to hear from you.