Wireless PHY Systems Engineer

Join Apple's Wireless SoC team - one of the most innovative and high-impact groups in the industry - where we define next-generation modem architectures, develop cutting-edge physical-layer algorithms, and invent embedded DSP solutions that power products like Air Pods, Apple Watch and iPhone. As a Wireless PHY Systems Engineer, you will play a central role in building end-to-end simulation frameworks for sophisticated wireless systems.

Your work will span the full signal chain from propagation channel modeling and RF/antenna behavior to PHY u0026 MAC protocols and signal processing algorithms. Application areas include Bluetooth-based wireless audio and ultra-wideband (UWB) sensing - technologies that define the user experiences Apple is known for. This is a rare opportunity to work at the intersection of wireless systems research, algorithm development, and silicon engineering, with direct impact on products used by hundreds of millions of people worldwide.

In this role, you will be responsible for the modeling, simulation, and performance analysis of complex wireless systems across multiple protocol layers and signal processing domains. You will work closely with PHY systems and algorithm engineers, analog and digital designers, and firmware/software engineers to invent, simulate, implement, verify, and test physical-layer features for new SoC designs. You will leverage AI-assisted simulation and data analysis techniques to accelerate development cycles, uncover system-level insights, and improve the accuracy and scalability of end-to-end models.

Your contributions will directly shape the architecture and performance of next-generation wireless chips.

MSEE/Ph.D. in electrical engineering, Digital Communications, Signal Processing, or equivalent. Deep understanding in Digital Signal Processing (DSP) and Wireless Communications, with hands-on experience in wireless chip or modem development. Strong systems-level understanding of wireless architectures, including the ability to reason about cross-layer dependencies between RF, PHY, MAC, and higher protocol layers. Experience applying AI/ML methods to wireless systems problems - such as learned channel estimation, or ML-based anomaly detection in simulation data, etc.

Proficiency with Python and data science/ML libraries (e.g., Num Py, PyTorch, scikit-learn) for simulation automation and AI-assisted analysis workflows.

Experience with fixed-point design, RTL vector generation, and/or High-Level Synthesis (HLS). Experience in lab FPGA/silicon bring-up, PHY/RF/MAC testing, and use of RF lab equipment.

Experience with simulation automation, regression frameworks, or CI/CD pipelines for large-scale system simulation. Prior contributions to wireless standards bodies or industry consortia (e.g., IEEE, Bluetooth SIG, FiRa Consortium). Strong written and verbal communication skills with a track record of presenting complex technical results to cross-functional audiences.

Bachelor's degree. Hands-on software programming skills for system modeling and simulation, with required proficiency in MATLAB and C/C++. Experience collecting, processing, and visualizing large-scale field and simulation datasets, including performance metrics such as measurement accuracy, latency, and throughput. Familiarity with analog/RF impairments common in wireless systems (e.g., phase noise, IQ imbalance, nonlinearity).

Experience with or knowledge of wireless standards such as Bluetooth, Ultra-Wideband (UWB), or other wireless protocols.