Wireless Systems Engineer, Ranging and Sensing

In this role, you will be working on next-generation and proprietary ranging and sensing technologies at the PHY layer. This involves collaborating closely with multiple cross-functional teams, including the radio and analog teams, PHY/MAC systems teams, firmware teams, and product teams, to determine the requirements, develop and implement ranging and sensing designs, validate pre-silicon platforms, bring up post-silicon devices, and optimize performance and reliability. Ultimately, your goal is to deliver a solution that achieves the target requirements and satisfies user-level expectations. Design and simulate next-generation and proprietary ranging and sensing protocols at the PHY layer. Collaborate with cross-functional teams to comprehend requirements and develop builds that align with those requirements. Collaborate with hardware and firmware designers to ensure robust, flexible, and power- and area-efficient implementations. Test, characterize, validate, and bring up the ranging and sensing designs on pre-silicon and silicon platforms to ensure optimized performance and robustness. Minimum requirement of a bachelors degree Understanding of communication theory, information theory, or signal processing. Knowledge of ranging and sensing protocols, such as IEEE 802.11az, IEEE 802.11bf, IEEE 802.11bk, IEEE 802.15.4z, IEEE 802.15.4ab. Experience designing PHY algorithms for wireless communication systems. Experience developing ranging and sensing algorithms. Experience implementing and simulating system models in MATLAB, Python, or C/C++. Strong written and verbal communication skills. MSEE or Ph.D. preferred, with relevant experience on communication systems or signal processing. Strong analytical skills to develop best-in-class designs in terms of performance, power, and area. Experience testing ranging and sensing designs in real-world environments. Experience with multi-resolution algorithms that are used to estimate the first path of arrival for ranging. Experience developing algorithms that lead to hardware- and firmware-friendly designs. Hands-on experience with testing, characterization, and bring-up of silicon in the lab. Experience with lab equipment, such as spectrum analyzer, signal generator.

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