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Signal Processing Engineer Entry Level Jobs in Fairfax, VA

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Signal Processing Engineer Entry Level information

See Fairfax, VA salary details

$54.7K

$134.3K

$197.8K

How much do signal processing engineer entry level jobs pay per year?

As of Aug 21, 2026, the average yearly pay for signal processing engineer entry level in Fairfax, VA is $134,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $150,800.00 per year, depending on experience, location, and employer.

What is the difference between Signal Processing Engineer Entry Level vs Communications Engineer Entry Level?

AspectSignal Processing Engineer Entry LevelCommunications Engineer Entry Level
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of DSP, MATLAB, and programming languagesBachelor's in Electrical Engineering, Telecommunications, or related; understanding of networking, RF, and signal transmission
Work EnvironmentResearch labs, R&D departments, tech companies focusing on audio, image, or sensor data processingTelecom companies, network providers, wireless service firms working on communication systems
Employer & Industry UsageUsed in industries developing signal algorithms, sensor systems, and multimedia processingApplied in industries designing and maintaining communication networks and wireless systems

While both roles require a background in electrical engineering and related certifications, Signal Processing Engineers focus on developing algorithms for data analysis and sensor systems, whereas Communications Engineers specialize in designing and maintaining communication networks. The roles often overlap in technical skills but differ in application focus and industry environment.

What are popular job titles related to Signal Processing Engineer Entry Level jobs in Fairfax, VA?

For Signal Processing Engineer Entry Level jobs in Fairfax, VA, the most frequently searched job titles are:

Digital Signal Processing (DSP) Engineer with Security Clearance

GRVTY

Chantilly, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

What Impact You'll Have Join GRVTY's mission-focused team as a Digital Signal Processing (DSP) Engineer, where you'll contribute to the development of advanced SIGINT capabilities supporting national security customers. You'll work alongside engineers and mission partners to design, build, and deploy signal processing solutions that operate in complex mission systems. In this role, you'll help deliver next-generation capabilities across software-defined radio, machine learning, and analytic tool development, directly supporting those on the front lines of national security. What You'll Be Owning: * Design, develop, test, and integrate signal processing algorithms for SIGINT mission systems. * Build and maintain DSP software in Python and C++ across Linux-based environments. * Enhance and support existing signal processing toolsets, with a focus on X-Midas-based systems. * Develop and integrate machine learning approaches into signal processing workflows. * Collaborate with cross-functional teams to define system requirements, architecture, and CONOPs. * Support full software development lifecycle activities, from concept through deployment and sustainment. * Develop analytic tools and software to process, exploit, and analyze RF and related data. What You Must Have: * Active TS/SCI clearance with ability to obtain a CI/Poly. * Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field (or equivalent experience). * Experience developing software in Python and C++ in Linux environments. * Experience with X-Midas or similar signal processing frameworks. * Experience working with signal processing systems or SIGINT applications. * Understanding of the full software development lifecycle. * Experience working in collaborative engineering teams. * Ability to communicate technical concepts clearly in written and verbal formats. What Would Be Nice to Have: * Familiarity with software-defined radio systems, including receiver architectures, modulation/demodulation, and spectral analysis. * Experience applying machine learning techniques to signal processing problems. * Experience with containerization technologies such as Docker or Kubernetes. * Knowledge of RF systems, including link budgets, range estimation, or system sensitivity analysis. * Experience supporting DoD, SIGINT, or electronic warfare mission environments. * Exposure to telemetry systems or target tracking systems.