Cellular RF Transmitter Systems Engineer (m/f/d) #200678117

Apple Technology Engineering B.V. & Co. KG; München; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

Apple is seeking a passionate RF Transmitter Systems Engineer to join its elite cellular RF team in Munich. You will translate system requirements into transmitter specs, define RF algorithms, and prototype ML-based power control and calibration solutions.

Collaboration with architecture, RF design, and software teams is essential for delivering differentiating transmit architectures with high quality. The role emphasizes research, prototyping, and simulation in Python or MATLAB, plus strong

Qualifikationen

• Minimum qualifications include BSEE or MSEE; PhD preferred for advanced topics.
• Experience in RF, cellular transmit architectures and 3GPP standards.
• Strong foundation in RF systems, transceiver design, and TX waveform trade-offs.
• Solid machine learning background with regression/classification techniques.
• Proficiency in English and collaboration across multicultural teams.
• Hands-on experience with ML frameworks and numerical computing tools.

Aufgaben

• Translate system requirements into TX lineup and feature specs.
• Define RF algorithms and control infrastructure including memory and timing constraints.
• Research and prototype ML models for power control and calibration.
• Develop simulation environments in Python or MATLAB to model RF systems.
• Analyze simulations to evaluate performance and propose improvements.

Kenntnisse

RF engineering

Machine learning

Neural networks

Python

MATLAB

English proficiency

Ausbildung

BSEE or MSEE

PhD in Electrical Engineering

Tools

Python

MATLAB

RF test equipment

Jobbeschreibung

Summary

At Apple, we work every single day to craft products that enrich people’s lives. The people here at Apple don’t just create products — they create the kind of wonder that revolutionizes entire industries. We invite you to join our dynamic group, for the unique and rewarding opportunity to contribute to upcoming products that will delight and inspire millions of Apple’s customers every day. Are you interested in doing work that challenges you, expands your thinking, provides innovative solutions for future problems while driving your growth as recognized technical leader in the cellular industry? Apple's RF Transmitter Systems Engineering team is looking for a passionate, talented individual who is eager to break technical boundaries and to change the way of doing things. Our elite team is shaping the mobile market with disruptive RF innovations while taking full responsibility for execution and commitments to schedule and quality. Join our team of leading experts in cellular RF industry and deliver differentiating transmit architectures and solutions for Apple’s wireless products that create amazing value for our customers!

Description

In this role, you will be part of an industry-leading RF Transmitter Systems Engineering team. You will work closely with other architecture- and systems engineering teams, RF design teams and SW teams to assess, specify and drive transmitter concepts with focus on leading-edge performance and uncompromised quality as baseline for differentiating products.

Responsibilities

• Translate system-level and performance requirements into requirements for the TX line-up and TX features, including RF algorithm specifications for RFICs and system firmware.
• Understand and specify RF algorithms (e.g. power control, calibration) and define the RF control infrastructure, including compute resources, interfaces, memory and timing constraints.
• Research, design, and prototype machine learning models—including neural networks and reinforcement learning—for RF transmitter applications such as power control, calibration, and digital pre-distortion.
• Develop and maintain simulation environments in Python or MATLAB to model RF systems and test AI algorithms.
• Analyze simulation data to evaluate model performance, identify trade-offs, and propose improvements.

Minimum Qualifications

• Proven years of relevant experience in RF, including cellular transmit architectures, or PhD degree with previous work on cellular topics.
• Knowledge of cellular radio/3GPP standards (GSM, UMTS, LTE, LTE-A, 5G NR), including RF aspects as well as system use cases and TX waveforms.
• Familiarity with RF systems and transceiver architecture, including lineup design and component-level trade-offs (e.g. gain, linearity, noise, power, thermal).
• Solid theoretical grounding and hands‑on experience with classical machine learning techniques (e.g., clustering, dimensionality reduction) applied to regression and classification problems.
• Solid theoretical understanding and hands‑on experience with neural networks for regression and classification problems.
• Practical experience across supervised, unsupervised, and reinforcement learning.
• Strong analytical skills and the ability to collaborate and communicate across multicultural, global teams.
• BSEE or MSEE.
• Proficiency in English.

Preferred Qualifications

• Initial expertise in transmitter system‑level concepts and control procedures like power control, digital predistortion, envelope tracking.
• Background in digital signal processing.
• Understanding of SoC integration constraints and multi‑chip RF architectures.
• Ph.D. in Electrical Engineering or equivalent.