Internship Software Engineering - AI-Assisted Baseband Debugging Evaluation, WTE (m/f/d) #200689711

Summary

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.

Responsibilities

Minimum Qualifications

• Basic understanding of AI/LLM concepts (prompting, tool/function calling, agent skills, evaluation metrics)
• Software Development (e.g. Swift, C/C++)
• Knowledge of embedded systems and CPU architectures (e.g. ARM) is a plus
• Ability to document requirements, experiments, and results clearly
• Proficiency in software engineering tools (e.g. SW version control systems like git, Jenkins, etc)

Preferred Qualifications

• Interest in applying AI to software engineering and developer tooling workflows
• Collaborative, innovative and creative skills
• Fluent English (English speaking work environment)

EEO Statement

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

Accessibility

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.