Cellular RF Transmitter Systems Engineer (m/f/d) #200678117
Core
Design and prototype machine learning models (neural networks, reinforcement learning) for RF transmitter applications like power control, calibration, and digital pre-distortion.
Role type
Senior IC RF Transmitter Systems Engineer (ML focus)
Builds
Differentiating transmit architectures and solutions for Apple's wireless products
Domain
Mobile telecommunications / RF engineering / Machine Learning
Deliverable
production ML models
Required skills
RF transmitter architecture design, 3GPP standards (GSM, UMTS, LTE, 5G NR), RF algorithm specification, classical machine learning (clustering, dimensionality reduction), neural networks, reinforcement learning, simulation environment development (Python/MATLAB)
Preferred skills
Transmitter system-level control procedures (power control, digital predistortion, envelope tracking), digital signal processing, SoC integration constraints, multi-chip RF architectures
Technologies
Python, MATLAB, RFICs, 3GPP standards
Responsibilities
Translate system-level requirements into TX line-up and feature specifications, specify RF algorithms and control infrastructure, research and prototype ML models for RF applications, develop simulation environments, analyze simulation data to evaluate model performance
Seniority
Senior, hands-on IC
