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MRSL Real-Time Systems Laboratory, Inc. is seeking a Senior Digital Signal Processing Engineer to research, design and implement advanced signal-processing algorithms for RF applications.
You will work as a principal investigator or within a small team of engineers to analyze signals, perform reverse engineering, and model complex systems. The role requires strong DSP background with experience in C/C++ and Python, plus desirable exposure to SDR, RF architectures and modern wireless protocols.
Research, design and implement advanced signal-processing algorithms in software for a variety of RF applications. Work as an individual principal investigator or as part of a small team of engineers. Perform RF signal and data analysis, reverse engineering, simulation and modeling. Implement new algorithms in C/C++ and Python. Support transition of algorithms to real-time, high-performance production computing environments.
Seeking an experienced Senior DSP Engineer to solve challenging technical problems in signal processing supporting mission-critical government programs. The ideal candidate will have a strong background and experience in one or more of the following fields; signal processing, digital communications, detection and estimation theory, remote sensing, radar signal processing, adaptive antenna array processing or navigation/geolocation. Expertise in algorithm development for defense contacts is highly desirable. U.S. Citizenship required. A security clearance is not required to apply or at the time of hire; however, the ability to obtain and maintain a TS/SCI Clearance is a condition of continued employment. BS or MS degree in Electrical Engineering or a related field is required. 7+ years of experience in digital signal processing preferred Demonstrated programming skills are required with experience in scientific programming. The ideal candidate has experience with implementation of signal processing algorithms in C/C++ and Python. Some experience with Linux and open source tool chains is desirable. Experience with software defined radio (SDR), baseband architecture, RF architecture and/or wireless propagation and modeling is desirable. Experience with modern communications protocols is desirable, including LTE, WCDMA, GSM, 802.11, or 802.16. Knowledge of numerical linear algebra is a plus.