About The Position

The Cellular RF Systems Engineering team is seeking an engineer to design intelligent control algorithms for RF Front-End hardware. The role translates complex 5G and 6G use cases into optimized RF hardware control strategies, balancing RF performance, power consumption, and thermal limits to support wireless products. The position is responsible for optimizing interaction between RF transceivers and RF Front-End modules. It focuses on converting advanced cellular capabilities—including SRS antenna switching, MIMO, and Multi-SIM—into system requirements and control flows. The engineer collaborates with teams across the cellular stack to bring these concepts into next-generation cellular products.

Requirements

  • BSEE required.
  • Deep understanding of 5G NR and LTE-Advanced physical layer procedures, particularly MIMO, SRS, and carrier aggregation.
  • Strong working knowledge of RF Front-End architectures and the system-level impact of components such as PAs, LNAs, filters, and switches.
  • Proven track record developing control algorithms, state machines, or system-level models for complex hardware.
  • Proficiency in Python, MATLAB, or C/C++ for data analysis, system modeling, and algorithm development.
  • Ability to analyze complex trade-offs, such as routing flexibility versus insertion loss and throughput versus battery life.
  • Strong communication skills and ability to work across diverse, cross-functional teams on complex multidisciplinary problems.

Nice To Haves

  • MS or PhD in Electrical Engineering, Physics, or a related field.
  • 3+ years of industry experience in RF systems or transceiver architectures focused on advanced cellular communication topics.
  • 5+ years of experience in RF systems engineering or 10+ years in communications circuit design.
  • Hands-on experience with RF filter technologies, power amplifier characterization, and Front-End module integration.
  • Expertise in designing and simulating analog and digital signal processing paths.
  • Experience applying Machine Learning or AI techniques to system-level optimization problems.
  • History of balancing cutting-edge hardware innovation with the practical constraints of high-volume manufacturing.

Responsibilities

  • Design control algorithms for RF Front-End hardware.
  • Translate 5G and 6G use cases into optimized RF hardware control strategies.
  • Optimize interaction between RF transceivers and RF Front-End modules.
  • Break down advanced cellular capabilities, including SRS antenna switching, MIMO, and Multi-SIM, into system requirements and control flows.
  • Balance RF performance, power consumption, and thermal limits.
  • Collaborate with engineering teams across the cellular stack to develop next-generation cellular products.
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