About The Position

Apple’s RF Transmitter Systems Engineering team develops transmitter architectures and solutions for Apple wireless products. In this role, you will work with architecture and systems engineering, RF design, and software teams to assess, specify, and advance transmitter concepts, emphasizing performance and quality. You will translate system-level and performance requirements into requirements for transmitter lineups and features, including RF algorithm specifications for RFICs and system firmware. You will specify RF algorithms and define RF control infrastructure, including compute resources, interfaces, memory, and timing constraints. You will also research, design, and prototype machine-learning models for RF transmitter applications, develop and maintain simulation environments, and analyze results to evaluate performance and trade-offs.

Requirements

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

Nice To Haves

  • Familiarity with mmWave architectures, phased-array systems, and related control concepts.
  • Knowledge and experience in physical-layer communication systems, such as modulation and coding, OFDM, channel estimation, and link-level performance.
  • Background in digital signal processing.
  • Understanding of SoC integration constraints and multi-chip RF architectures.

Responsibilities

  • Work with architecture and systems engineering, RF design, and software teams to assess, specify, and drive transmitter concepts.
  • Translate system-level and performance requirements into requirements for transmitter lineups and transmitter features, including RF algorithm specifications for RFICs and system firmware.
  • Understand and specify RF algorithms, such as power control and calibration.
  • Define 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 predistortion.
  • Develop and maintain Python or MATLAB simulation environments to model RF systems and test AI algorithms.
  • Analyze simulation data to evaluate model performance, identify trade-offs, and propose improvements.
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