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Wireless PHY Systems Engineer

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • Engineering
    Wireless / 5G, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

Description

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.

Responsibilities
  • Lead the invention, derivation, and evaluation of advanced physical-layer algorithms and DSP techniques for Bluetooth, UWB, and emerging wireless protocols.
  • Architect and develop end-to-end simulation frameworks covering propagation channel models, RF/antenna abstractions and PHY/MAC protocol stacks.
  • Collaborate with cross-functional teams to model, analyze, and visualize system performance across the full signal chain.
  • Process and analyze large volumes of field and simulation data; develop insightful, user-friendly visualizations of complex results including measurement accuracies, system latencies, and protocol performance metrics.
  • Drive fixed-point design and RTL vector generation to translate algorithm research into hardware-ready implementations, leverage HLS tools where applicable.
  • Lead or support lab bring-up and validation activities, including FPGA/silicon testing, PHY/RF/MAC debugging, calibration procedures, and advanced lab equipment operation.
  • Represent the team in technical discussions with cross-functional partners and, where applicable, in external standards bodies or industry consortia.
  • Utilize AI/ML techniques across all aspects of the role — including algorithm design and optimization, simulation framework development, post-processing and analysis of large-scale field and simulation datasets, RF impairment modeling, and lab-based bring-up and debugging workflows.
Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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…
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