• Your daily work includes the following tasks:
• 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.

• 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.

• 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.

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.

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.

Learn about accessibility in Apple’s workplace