Senior Cellular PHY System Engineer

Summary

Posted: Mar 23, 2025

Role Number:200596566

The Wireless Communication group at Apple is a rapidly growing, high energy, results-oriented team. The team is responsible for the system design integration of a Wireless IC solution. We are looking for a forward-thinking, motivated and hardworking System Engineer to be a part of Apple’s new product introduction process from prototype to mass production. If you are passionate about Wireless technologies, want to make an impact and have the desire to work on groundbreaking Wireless technologies, then we are looking for you.

Description

As part of the Wireless team, you will be working on pre and post-silicon system development activities to achieve full operation and optimization of PHY/L1 modules such as AGC, advanced time-domain processing, channel estimation, demodulation, and decoding, in a highly complicated wireless communication device. We are looking for a highly reciprocal individual, who can excel in performing the development and integration of these modules in the system with comprehensive full-stack understanding and with the ability to analyze issues in lab and field which are related to L1, MAC, and RRC procedures with tight multi-functional work with RF, HW, FW, and SW teams.

Minimum Qualifications

• 8+ years of hands-on experience in wireless communication systems
• Hands-on experience in development , integration and productization of cellular systems and algorithms
• Deep-knowledge of communication system theory and signal processing
• In-depth knowledge of cellular communication standards: 5GNR, 4G LTE.
• Full-stack system-level understanding and ability to comprehend and affect an improvement to multi-disciplinary processes of RF/PHY/L1/L2 and L3
• Experience with Matlab, C/C++, and/or Python for algorithm modeling (floating-point and fixed-point), link-level simulation, and lab testing environments.
• Good understanding and debug capabilities of a mixed HW/FW multi-processor PHY/L1 implementation
• Strong analytical skills (linear algebra, random processes, detection, and estimation, etc.)
• R&D experience in AI/ML systems including design and implementation of ML algorithms and tools
• MmW experience

Preferred Qualifications

• BS Degree in Computer / Electrical Engineering, MS - an advantage