DSP Communications Research Scientist (Active TS/SSBI/SCI)

Position Duties

• Research, design, and implement advanced signal processing algorithms in software for various RF applications.
• Work as an individual principal investigator or 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.
• Communicate effectively, verbally and in writing, on complex technical subjects to customers, end-users, and partners at varying levels appropriate to each audience.
• Translate customer objectives to technical requirements, manage performance and schedule expectations, and communicate project status and technical performance evaluations.

Required Expertise and Experience

• An outstanding background in signal processing, digital communications, detection and estimation theory, remote sensing, radar signal processing, adaptive antenna array processing, or navigation/geolocation.
• Demonstrated programming skills and experience in scientific programming are required.
• The ideal candidate has experience implementing signal processing algorithms in C/C++ and Python.
• Extensive expertise 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, Navigation/geolocation.

Desired Qualifications

• 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, including LTE, WCDMA, GSM, 802.11, or 802.16, is desirable.
• Knowledge of numerical linear algebra is a plus.
• Good customer communication and presentation skills (written and verbal) are essential.