Radio Frequency Engineer

Location: Irvine, CA or Washington, DC Area Employment Type: Full-Time Salary Range: $133,000 – $169,000 USD Clearance: Ability to Obtain (TS/SCI) About the Role We are seeking a highly skilled Signals Engineer to support the development of advanced RF signal processing and payload technologies for space-based sensing systems. In this role, you will work cross-functionally with engineering teams to analyze, validate, and enhance signal collection capabilities across a variety of mission applications. You will provide technical insight, analysis, and engineering support to drive new capabilities from concept through operational deployment, directly contributing to mission success and next-generation system development. Key Responsibilities Analyze and optimize RF signal data collection while collaborating with cross-functional teams to meet project specifications Drive engineering efforts related to electronic signals collection missions Analyze RF data across a wide range of frequency bands, from VHF through Ka-band Explore and implement advanced signal processing techniques, including TDOA/FDOA geolocation, modulation and pulse recognition, de-interleaving, direction finding/beamforming, and emitter fingerprinting Work closely with SAR and payload engineering teams to test and validate data collection performance Perform signal analysis using Python, MATLAB, or similar tools Generate documentation and effectively communicate technical information to audiences of varying technical backgrounds Contribute technical content to RFIs, RFPs, and other business capture activities Support general software engineering and data analysis projects as needed Required Qualifications Advanced degree in Electrical Engineering, Physics, or a related field 3+ years of experience in a similar engineering or signals analysis role 2+ years of hands-on experience using Python for signal processing and data analysis Strong foundation in signal processing fundamentals and RF data analysis, including manipulation of complex-valued data Experience working with large RF/IQ datasets, including data curation, labeling, and analysis Familiarity with RF data formats such as SigMF, CRSD, or similar Ability to obtain a TS/SCI security clearance Preferred Qualifications Expertise in RF signal analysis, including geolocation and signal characterization techniques Experience with scientific computing libraries such as NumPy, SciPy, or PyTorch Familiarity with GPU acceleration (CUDA), vectorized computing, or FPGA-based processing concepts Experience with compiled programming languages such as C, C++, or Go Familiarity with SAR data collection and imaging modes Experience with anechoic chamber testing and phased array antenna systems #J-18808-Ljbffr EVONA