Wireless PHY Systems Engineer

Apple's Wireless SoC team is seeking an exceptional Wireless PHY Systems Engineer to help define the future of wireless technology in Apple products. Our team sits at the forefront of modem architecture, physical-layer algorithm research, and embedded DSP innovation - delivering the wireless capabilities that make Air Pods, Apple Watch, iPhone, and other Apple products extraordinary. In this role, you will drive end-to-end simulation and algorithm development for complex wireless systems, spanning Bluetooth and UWB protocol stacks, propagation channel modeling, RF/antenna behavior and PHY u0026 MAC protocols.

You will bring deep technical expertise, scientific rigor, and a forward-looking perspective - including the application of AI/ML methods - to solve some of the hardest wireless systems challenges in the industry. This role is ideal for those who thrive at the boundary of theory and silicon, and who wants their work to reach hundreds of millions of people through world-class consumer products.

As a Wireless PHY Systems Engineer, you will lead the research, modeling, and simulation of sophisticated wireless systems across the full signal chain. You will work at the intersection of algorithm invention, system-level analysis, and hardware realization - collaborating with PHY/algorithm engineers, analog and digital designers, and firmware/software teams to develop physical-layer features for next-generation SoC designs. You will apply AI/ML-driven approaches alongside classical signal processing methods to push the boundaries of simulation fidelity, algorithm performance, and system understanding.

Your work will directly influence chip architecture decisions and the wireless capabilities of future Apple products.

MSEE/Ph.D. in electrical engineering, Digital Communications, Signal Processing, or equivalent with 10+ years of relevant experience. Demonstrated experience applying AI/ML methods to wireless systems - such as learned channel estimation, AI-driven receiver design, neural network-based signal detection, or ML-assisted simulation data analysis. 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 High-Level Synthesis (HLS) tools for algorithm-to-hardware translation. Prior engagement with wireless standards organizations or industry consortia (e.g., IEEE 802.15, Bluetooth SIG, FiRa Consortium).

Experience with simulation automation, regression frameworks, or CI/CD pipelines for large-scale system simulation. Track record of technical publications, patents, or contributions to the broader wireless research community. Exceptional communication skills with the ability to present complex research findings and system trade-offs to diverse technical and non-technical audiences.

Bachelor's degree with 10+ years of relevant experience. Strong systems-level mastery of complex wireless architectures, including the ability to reason rigorously about cross-layer dependencies between RF, PHY, MAC, and higher protocol layers. Extensive hands-on software programming skills for system modeling and simulation, with required proficiency in MATLAB and C/C++.

Experience with fixed-point design and RTL vector generation. 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. Experience in lab FPGA/silicon bring-up, PHY/RF/MAC testing, and use of RF lab equipment.