Cellular RF Transmitter Systems Engineer

What you'll do

• Translate system performance requirements into TX lineup, RF algorithm, and firmware requirements; define RF control infrastructure.
• Research, design, and prototype machine-learning models for transmitter applications such as power control, calibration, and digital pre-distortion.
• Build Python or MATLAB simulations and analyze results to evaluate model performance and trade-offs.

What they ask for

• BS degree and at least 10 years of relevant industry experience.
• 5+ years of cellular RF transceiver design experience focused on transmit architectures.
• Expertise in communication transmitters and TX performance metrics, plus working knowledge of TX control concepts such as power control, DPD, and ET.
• Thorough knowledge of 3GPP LTE/LTE-A and 5G NR standards; strong machine-learning expertise and demonstrated application of ML to RF problems.

Nice to have

• Familiarity with mmWave architectures, phased arrays, and related control concepts.
• Knowledge of physical-layer communication systems, digital signal processing, SoC integration constraints, or multi-chip RF architectures.

Pay

$165,800 and $292,400 (USD, base salary)

Tools

Python, MATLAB, LTE/LTE-A, 5G NR

AI focus

Research, design, and prototype machine-learning models—including neural networks and reinforcement learning—for RF transmitter power control, calibration, and digital pre-distortion; simulate and evaluate model performance and trade-offs.