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Digital Signal Processing Dsp Jobs in Reston, VA

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Digital Signal Processing Dsp information

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How much do digital signal processing dsp jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for digital signal processing dsp in Reston, VA is $16.02, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.03 per hour, depending on experience, location, and employer.

What is the difference between Digital Signal Processing Dsp vs Signal Processing Engineer?

AspectDigital Signal Processing DspSignal Processing Engineer
CredentialsDegree in Electrical Engineering, Computer Engineering, or related fields; certifications in DSP toolsSimilar degrees; often same certifications; focus on practical application
Work EnvironmentResearch labs, tech companies, manufacturing, embedded systemsDesign firms, telecom, audio/video industries, R&D
Industry UsagePrimarily in electronics, telecommunications, audio processingBroader applications including radar, biomedical, multimedia

Digital Signal Processing Dsp focuses on the algorithms and implementation of digital signals, while Signal Processing Engineer applies these principles across various industries. Both roles require similar skills and education, but DSP is more specialized in algorithm development, whereas Signal Processing Engineers often work on system integration and application development.

What are popular job titles related to Digital Signal Processing Dsp jobs in Reston, VA? For Digital Signal Processing Dsp jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Digital Signal Processing Dsp jobs in Reston, VA look for? The top searched job categories for Digital Signal Processing Dsp jobs in Reston, VA are:
What cities near Reston, VA are hiring for Digital Signal Processing Dsp jobs? Cities near Reston, VA with the most Digital Signal Processing Dsp job openings:

Digital Signal Processing (DSP) Engineer

GRVTY

Chantilly, VA

Other

Posted 22 days ago


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.Â