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

Macpower Digital Assets Edge LLC

Monterey, CA

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JOB DETAILS
JOB TYPE
Full-time
SKILLS
802.11, 802.16, Algorithms, Antenna, Baseband, C Programming Language, C++ Programming Language, Communication Skills, Communications Protocols, Computer Programming, Computer Systems, Data Analysis, Digital Signal Processing (DSP), GSM (Global System for Mobile Communications), Geolocation, Linear Algebra, Linux Operating System, Open Source, Performance Analysis, Performance Management, Performance Reviews, Presentation/Verbal Skills, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Radio Frequency, Reverse Engineering, Sales Presentation, Schedule Development, Scientific Research, Sensitive Compartmented Information (SCI), Signal Processing, Signal Processing Algorithms, Signal-to-noise Ratio (SNR), Simulation, Single Scope Background Investigation (SSBI), W-CDMA (Wideband Code Division Multiple Access), Wireless Communications, Writing Skills
LOCATION
Monterey, CA
POSTED
30+ days ago
Position Description: We are seeking DSP Communications Research Scientist with TS/SSBI/SCI for a Role in Monterey, CA. The ideal candidate should possess a TS/SSBI/SCI clearance, hold an M.S. in a relevant field (Ph.D. preferred), and have at least 2 years of professional experience, with 5 years being highly desirable. We seek a highly qualified research engineer/scientist to solve challenging technical problems in signal processing that are critical to national security. Our client has a national reputation for delivering uniquely capable solutions to very challenging problems and a long track record of consistent innovation and success against the most difficult issues faced by their customers. These problems typically involve processing of signals in very stressful RF conditions, including low signal-to-noise ratio, high levels of interference, and non-stationary environments. 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. The successful applicant will have 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. Required Education and Experience: An M.S. in a related field is required, and a Ph.D. is desirable. A minimum of two years of work experience is required; five or more years is desirable.

About the Company

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Macpower Digital Assets Edge LLC

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