RF Systems Architect - Control Algorithms

Waltham · On site · Posted 4/15/2026 Leaves the board in 3 days
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In this role, you will be responsible for the optimal interaction between our RF transceivers and RF Front-End modules. Your primary focus will be breaking down advanced cellular capabilities, such as SRS antenna switching, MIMO and Multi-SIM, into clear system requirements and concrete control flows. This is a highly collaborative role where you will partner with diverse engineering teams across the entire cellular stack to bring these cutting-edge concepts into our next-generation cellular products.

Minimum Qualifications
BSEE required.
Deep understanding of 5G NR and LTE-Advanced physical layer procedures, particularly involving MIMO, SRS, and carrier aggregation.
Strong working knowledge of RF Front-End architectures and the system-level impact of components like PAs, LNAs, filters, and switches.
Proven track record of 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 critically analyze complex trade-offs, such as routing flexibility versus insertion loss, or throughput versus battery life.
Strong communication skills with a proven ability to work across diverse, cross-functional teams to solve highly complex, multi-disciplinary problems.

Preferred Qualifications
MS or PhD in Electrical Engineering, Physics, or a related field.
3+ years of industry experience in RF systems or transceiver architectures with a focus 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 solve system-level optimization problems.
History of successfully balancing cutting-edge hardware innovation with the practical constraints of high-volume manufacturing.