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# Modem System Test Engineer - Wireless Technologies and Ecosystems

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Salary:** $129,300.0
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Artificial Intelligence, Computing Platforms, Automation of Tests, Software Bug Management, Protocol Stack, Computer Engineering, Modems, Data Transmissions, Software Debugging, Firmware, Python (Programming Language), Log Analysis, Machine Learning, Open Source Technology, Tensorflow, System Testing, Test Case, Data Processing, Pytorch, 5G NR, System-level Testing, Information Technology, Wireless Technologies, Software Defined Radio, Cellular Architecture
- **Published:** September 23, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28044696/Modem-System-Test-Engineer-Wireless-Technologies-Ecosystems-California-Sunnyvale-7413

## About the Role

Join the Wireless Technologies and Eco-Systems (WTE) organization and drive innovation that matters! We build and seamlessly integrate technologies that enrich peoples' lives and deliver the best user-experience. We are looking for a highly reciprocal individual who can excel in a high-paced environment. Be ready to make something extraordinary when you come here. Dynamic, encouraging people and innovative, industry-defining technologies are the norm at Apple. If you're passionate about building technology that will make a difference, we may have the job for you!, Education: Master's degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a related field

Protocol & Systems Knowledge: Deep understanding of 3GPP LTE and 5G NR specifications across the protocol stack (PHY, MAC, RLC, PDCP, SDAP, RRC, NAS) and end-to-end cellular architecture

Hands-on Implementation or Validation: Hands-on experience implementing, debugging, or validating cellular protocol stacks or physical-layer modules using commercial test equipment or open-source wireless testbeds

Scripting & Automation: Strong proficiency in Python for test automation, data processing, and log parsing

Physical Layer Fundamentals: Solid grasp of digital communication principles, modulation, OFDM, and channel coding schemes

Preferred Qualifications

Applied AI/ML in Wireless: Experience applying machine learning frameworks (PyTorch, TensorFlow) to wireless communications problems (e.g., intelligent scheduling, link adaptation, neural decoders, or automated log anomaly detection).

Standards & Pre-Standard Research: Familiarity with 3GPP standardization workflows (RAN1, RAN2, RAN4 or RAN5) or research contributions in beyond-5G/6G physical and MAC layer architectures

## Description

We expect you to be hands-on relying upon diagnostics, analytics, crowd sourced information, lab/field experimentations as well as code/architecture review to exploit the opportunities for improvement and work multi-functionally with platform architecture, standardization, firmware/protocol development, system test & carrier engineering teams to drive the enhancement proposals and baseband optimizations. You will be required to develop advanced system evaluation and debugging capabilities. Our members enjoy the flexibility to be involved in all aspects of Protocol software - PHY, RF, SIM, NAS, AS, IP, TCP/UDP and iOS interfaces, to ensure the most robust and customer friendly software. If you are passionate about cellular technologies, want to make an impact and have the desire to work on groundbreaking cellular technologies, then we are looking for you. As part of this team you'll be impacting iPhone user experience in 100+ countries by engaging in continuous process improvements for a
well tested and robust software.

Responsibilities

Test Design & Execution: Define, develop, and execute system-level test plans exercising 5G NR (FR1 & FR2/mmWave) and emerging standards across protocol control/user planes (L1/L2/L3) and physical-layer performance

Root-Cause Analysis: Analyze protocol traces, air-interface captures, and diagnostic logs (RRC, NAS, PDCP, RLC, MAC, PHY) to debug complex failure modes, throughput bottlenecks, and interoperability issues

Intelligent Test Automation: Build scalable test automation and leverage machine learning/data-driven methods to automate anomaly detection, KPI trend analysis, and failure triage across large test sets

Cross-Functional Collaboration: Partner with baseband firmware, protocol software, platform architecture, and RF hardware teams to reproduce issues, validate bug fixes, and ensure 3GPP conformance

Testbed & Tooling Development: Contribute to internal test infrastructure, test case development, and evaluation platforms spanning both commercial test equipment and software-defined radio (SDR) / open-source protocol testbeds


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