Signal Processing Engineer
The Leidos Innovations Center (LInC) has an exciting opportunity for a skilled Signal Processing Engineer in Chantilly, VA to be part of a strong team of scientists, engineers and operations experts addressing some our nation’s most challenging intelligence problems. Come join a team conducting applied research and development (R&D), including the development and assessment of signal processing and machine learning (ML) algorithms for application against real-world data. The division’s primarily focus is on R&D and advanced prototyping.
We are currently seeking a signal processing engineer to be part of a small team that analyzes MASINT signatures embedded in challenging interference environments in order to identify exploitable features and develop detection, classification and geolocation algorithms that generate valuable information for intelligence analysts. Other duties may include participating in customer-sponsored field tests; performing signal modeling for operational planning purposed; and building and testing prototype signal collection and processing systems using commercial off-the-shelf (COTS) based hardware, such as software-defined radios (SDRs). Responsibilities include development of digital signal processing (DSP) algorithms and analysis tools; incorporation of traditional Signal Processing as well as Machine Learning (ML) and Artificial Intelligence (AI) based techniques; conducting data processing and analysis; performing signal detection, characterization and geolocation operations; and implementing algorithms in hardware systems as research progresses toward operational implementation.
The successful candidate will have the following educational background and work experience:
Bachelor’s degree in Electrical Engineering, Computer Science, Physics, Mathematics or a related field, with 4-8 years of relevant work experience, or a Master’s degree in these same fields with 2-6 years of relevant work experience
Be capable of implementing and/or developing signal processing algorithms based on a literature search or technical description of a signature
Experience with some or all of the following programming languages: MATLAB, Python, C, C++
Strong analytical skills in the areas of detection and estimation theory, machine learning, adaptive filter theory, spectral estimation, linear algebra and/or stochastic processes (all are not required)
Capable of working in a small team environment, to include providing data collection and analysis support at customer sponsored field tests
An entrepreneurial, motivated, self-starter attitude
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.