Cellular Protocol Stack Development Engineer, Wireless Tech and Ecosystems

At Apple, we don’t just build products — we create experiences that redefine entire industries. It’s the diversity of our people and their ideas that fuels innovation across everything we do, from breakthrough technologies to industry-leading environmental efforts. Join the Wireless Technologies and Eco-Systems (WTE) organization and and drive innovation that matters! As part of the Wireless team you we will be working on building solutions for Wireless technologies. 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. The people who work here have reinvented and defined entire industries with our products and services. The same real passion for innovation also applies to our business practices - strengthening our dedication to leave the world better than we found it. You should join the Apple Wireless SW Developing Team if you want to help deliver the next amazing Apple product.

Description

Design and develop cellular protocol stack software.
Bring up iOS productions with cellular features.
Diagnose, debug, and resolve cellular issues with rigorous root-cause methodology.
Analyze and optimize cellular performance through systematic analysis and data-driven refinement.
Support comprehensive production testing across all functional, performance and regulatory requirements.

Minimum Qualifications

2+ years of hands-on experience in a cellular protocol stack (NAS/RRC/PDCP/RLC/MAC) developing role.
Good knowledge of wireless communication and computer networks.
Strong troubleshooting and problem-solving skills.
Quick learning capability in a fast-paced environment.
Fluent in both English and Chinese.

Preferred Qualifications

Experienced in cellular system design as plus.
Experienced in LTE/NR firmware development as plus.
Deep knowledge of LTE or NR cross layers as well as end to end system as plus.
Experienced data analytic and data-informed solution design as plus.
Hands on experience in GenAI and machine learning as plus.