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Salary
≈ $109k – $211k per year (Estimated)
Location
In office (Munich)

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 13, 2026. Apple scores B on the Alion truth index.

Overview
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Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences fast. You will be collaborating across multiple disciplines and playing a meaningful role in bringing amazing products to millions of customers.

Are you excited about shaping the future of large-scale cellular / Radio Frequency (RF) systems? You will be building tests, tools and frameworks, utilising AI and ML, to tackle complex problems, propose innovative solutions and scale automation across multiple cross functional teams working on Apple’s cellular products.

Do you enjoy solving problems no one has solved yet? Are you ready to be part of a team transforming wireless technology?

Join us in delivering the next generation of groundbreaking Apple cellular products. In this role, you will be a key member of our team in Munich, Germany, developing tools for the configuration of our integrated cellular Radio Frequency products, leveraging AI and ML technologies.

Description

You are a self-motivated, energetic individual with excellent interpersonal skills who can effectively collaborate with international teams.

This role offers a unique opportunity to bridge software with real-world cellular and wireless applications. Our team builds Radio Frequency configuration and visualisation tools for the development of RF chipsets used in Apple’s cellular products. The ideal candidate will be working with several RF teams on-site and globally to build these tools utilising big data, Artificial Intelligence and machine learning.

We have end-to-end responsibility: from gathering requirements, design and architecture and development, to the end product. Our environment is collaborative, creative and fast-paced, leveraging cutting-edge technologies to solve unique challenges.

To be successful in this position you need a solid technical foundation, eagerness to learn, attention to detail and for sure the genuine love for programming. You are curious about AI/ML applications, you understand the power of software and are ready to put it all into producing smart solutions every day.

Minimum Qualifications

Proven experience in software development, preferably working on the development of RF products.

Experience applying AI/ML to real-world engineering problems (anomaly detection, data analysis, automation)

Strong object-oriented and functional programming skills: Java / Python (Rust is a plus).

Proven ability to develop high quality software products.

Experience working with international teams.

Self-starter with an agile mindset.

Excellent English communication skills, problem solving, analytical and debugging skills.

Preferred Qualifications

BSc / MSc / Dipl.-Ing. in Computer Science, Computer Engineering or equivalent degrees.

Experience with Git-based version control and CI/CD.

Experience leveraging AI/ML to monitor, detect, and analyze anomalies in high-volume data systems.

Experience with anomaly detection using AI.

Multithreading and parallel processing expertise.

Integration, System and End-to-End testing experience.

Knowledge of 2G/3G/4G and preferably 5G mobile communication technologies.

Understanding of RF systems and RF building blocks.

Ability to conduct in-depth design and code reviews.

Good requirement gathering skills, breaking down projects into tasks.

Experience working on developer-facing tools or automation frameworks.

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