Cellular RF Transmitter Systems Engineer

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 industrial-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

• BS and a minimum of 10 years relevant industry experience
• 5+ years of RF transceiver design experience for cellular systems, with a focus on transmit architectures
• Expert knowledge of communication transmitters (cellular FR1 and FR2, Wi-Fi, or Bluetooth), including TX lineup design and component-level trade-offs (gain, linearity, noise, power, thermal), with proven ownership of TX performance metrics (ACLR, EVM, spurious emissions, spectrum masks).
• Working knowledge of TX system-level concepts and control procedures, such as power control, digital predistortion (DPD), and envelope tracking (ET).
• Thorough knowledge of 3GPP cellular standards (LTE/LTE-A, 5G NR), including TX waveforms, RF requirements, and system use cases.
• Strong expertise in machine learning, with deep theoretical fundamentals in classical methods (clustering, dimensionality reduction), neural networks, and supervised, unsupervised, and reinforcement learning.
• Proven record of applying machine learning to RF problems such as calibration, linearization (e.g., DPD), or modeling, with a solid understanding of trade-offs (model complexity, data requirements, generalization, interpretability, computational cost on embedded hardware).
• Strong analytical skills and the ability to collaborate in multicultural, global teams.

Preferred Qualifications

• Familiar with mmWave architectures, phased array systems and related control concepts.
• Knowledge and experience in communication systems with a focus on the physical layer (e.g., modulation and coding, OFDM, channel estimation, link-level performance).
• Background in digital signal processing.
• Understanding of SoC integration constraints and multi-chip RF architectures.