Cellular RF Receiver Algorithms Systems Engineer

Apples RF System Engineering team is seeking a motivated and dedicated expert to define the next generation of Cellular RF Receiver this role you will architect and deliver groundbreaking wireless solutions for future Apple products working on todays 5G New Radio and blazing the path to 6G. You will have a unique opportunity to develop the core technologies that enable an outstanding wireless experience for millions of customers worldwide.

In this role you will drive the control architecture and algorithms for the RF receiver collaborating across systems engineering RF circuit design digital implementation platform architecture software engineering and production teams to define and deliver solutions that push the boundaries of performance quality and implementation efficiency.

Translate 3GPP system-level and performance requirements into concepts and specifications for the RX line-up and RX to the entire product lifecycle from initial architectural concept and algorithm definition until silicon validation and mass with RF circuit design teams to understand RF impairments configuration and dynamic innovative concepts and algorithms to effectively control receiver components calibrate and compensate for RF impairments to ensure optimal system conceptual work on novel digital signal processing (DSP) algorithms including advanced multi-rate digital filter structures to achieve efficient signal line-up at optimized power consumption and minimal simulations (e.g. MATLAB Python C) for performance the hardware and software partitioning within the transceiver/modem topology optimizing the architecture for detailed specifications and build reference models for hardware and software implementation teams. nCollaborate with baseband system engineering teams on system requirements optimal system partitioning and complex modem use cases.

BS and 10 years of relevant industry of Cellular Radio/3GPP Standards (UMTS LTE 5G NR FR1/2) and familiarity with emerging 6G research knowledge of RF receiver architectures from antenna to analog/digital base band processing including a comprehensive understanding of RF circuit impairments and their impact on system understanding of cellular system use cases and RF/baseband interactions and Engineering experience with a deep background in DSP for wireless communication systems. Experience in refining from abstract definition towards bit true reference in hardware/software co-design and a comprehensive grasp of the trade-offs inherent in digital hardware and software/firmware -level proficiency in Python or C is applying Artificial Intelligence (AI) or Machine Learning (ML) to improve multi-objective optimizations and accelerate engineering analytical and problem-solving skills with the ability to collaborate effectively in a global multi-disciplinary team.

Expertise in microcontroller architectures used for real time operation and how to program in AI/ML native applications with experience utilizing tools such as TensorFlow or with RFIC design layout considerations and semiconductor of cellular modem architectures including their associated concepts and degree with 3 years of industry experience in RF focus on cellular receiver in mathematical modeling and analysis with the ability to build abstract system models leveraging control theory for understanding and designing control and closed-loop feedback systems optimization theory for multi-objective trade-space analysis and statistical methods for performance modeling under uncertainty.