About The Position

Apple’s RF System Engineering team is seeking a motivated and talented RF engineer to optimize Cellular RF Receiver architectures. In this role, you will architect and deliver wireless solutions for Apple products, working on today's 5G New Radio and pioneering the path to 6G. You will have a unique opportunity to work on the core technologies that enable an outstanding wireless experience for millions of customers worldwide. DESCRIPTION As a key member of our industry-leading team, you will drive the optimization of our RF receiver architectures. You will influence and collaborate with RF circuit design, platform architecture, and software engineering teams to implement performance enhancing concepts that deliver uncompromising performance and quality.

Requirements

  • BS and 10+ years of relevant industry experience
  • Demonstrated System Engineering experience with complex Cellular RF systems, with expertise in state-of-art receiver architectures
  • Demonstrated ability to influence and drive innovation and execution across an organization
  • Understanding of RF line-up analysis for modern receiver architectures
  • Theoretical and practical understanding of RF system performance metrics and their direct impact on overall system performance
  • Understanding of 3GPP standards with focus on RF requirements and physical layer procedures
  • Proficiency in using MATLAB and Python for RF system modelling and simulations
  • Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts effectively to diverse, cross-functional global teams
  • Experience with lab bring-up, system calibration, and debugging RF hardware

Nice To Haves

  • MS or PhD in Electrical Engineering or a related field
  • Minimum 2 years of experience in Radio Receiver design and optimization
  • Understanding of Cellular system use cases, transmit/receive interactions, and coexistence challenges in complex consumer electronics
  • Experience applying Artificial Intelligence (AI) or Machine Learning (ML) to enhance multi-objective optimization of RF performance
  • Familiarity with modern digital modem architectures
  • Familiarity with RFIC design and layout considerations
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