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5G​/4G Physical Layer Firmware Verification and Integration Engineer

Job in San Diego, San Diego County, California, 92140, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-03-04
Job specializations:
  • Engineering
    Software Engineer, Systems Engineer
Job Description & How to Apply Below
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.

It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.

Join Apple's innovative team where you will contribute to the development and verification of cutting-edge wireless technologies. We are seeking a highly skilled Firmware Verification and Integration Engineer to play a critical role in ensuring the quality and performance of our 4G/5G firmware. You will be a key member of a cross-functional team, collaborating with component validation, integration, protocol test, firmware development, and system engineering teams.

Master's degree in Electrical Engineering, Computer Science, or a related field.

Experience with network emulators, silicon prototyping, emulation systems, and virtual platforms. Proficiency in automation tools and scripting languages (e.g., Python, C/C++, Java).

BS and a minimum of 3 years relevant industry experience. Expertise in 4G/5G 3

GPP physical layer and protocol stack procedures and configurations. Demonstrated experience in Modem system test plan and feature release planning for 4G/5G functional and performance scenarios. Strong understanding of 4G/5G signaling and physical layer Test Equipments, including their automation interfaces. Excellent analytical and debugging skills, with the ability to diagnose complex issues and collaborate effectively with development/design teams for resolution. Proficiency with source code control tools.

Ability to quickly adapt and learn new architectures and frameworks. Familiarity with AI/ML tools and techniques for test optimization, data analysis, or complex system verification.
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