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Software Digital Signal Processing Dsp Engineer Jobs

LufCo

DSP Engineer

Aberdeen, MD · On-site

$150K - $250K/yr

LufCo is hiring a Digital Signal Processing Engineer to join a collaborative, small team ... Software Development Processes * Working in a small team environment * Developing, managing, and ...

Huntington Ingalls Industries

$65K - $90K/yr

Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware ... Candidate must be able to function as the Digital Signal Processing (DSP) Subject Matter Expert for ...

LufCo

DSP Engineer

Aberdeen, MD

LufCo is hiring a Digital Signal Processing Engineer to join a collaborative, small team ... Software Development Processes * Working in a small team environment * Developing, managing, and ...

HII's Mission Technologies division

$65K - $90K/yr

Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware ... Candidate must be able to function as the Digital Signal Processing (DSP) Subject Matter Expert for ...

LufCo

DSP Engineer

Aberdeen, MD · On-site

$150K - $250K/yr

LufCo is hiring a Digital Signal Processing Engineer to join a collaborative, small team ... Software Development Processes * Working in a small team environment * Developing, managing, and ...

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Software Digital Signal Processing Dsp Engineer information

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$53.5K

$131.3K

$193.5K

How much do software digital signal processing dsp engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for software digital signal processing dsp engineer in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

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

AspectSoftware Digital Signal Processing Dsp EngineerSignal Processing Engineer
CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentPrimarily software development, algorithm design, and implementation in embedded or desktop environmentsDesigning, analyzing, and testing signal processing systems, often in research or product development settings
Industry UsageCommon in telecommunications, audio/video processing, and defense industriesUsed across communications, aerospace, medical devices, and consumer electronics

While both roles focus on signal processing, the Software Digital Signal Processing Dsp Engineer emphasizes developing software algorithms and implementations, often in embedded systems, whereas the Signal Processing Engineer may focus more on system design, analysis, and research in various industries.

What are the key skills and qualifications needed to thrive as a Software Digital Signal Processing (DSP) Engineer, and why are they important?

To thrive as a Software Digital Signal Processing (DSP) Engineer, you need a solid background in mathematics, signal processing theory, programming (often C/C++ or Python), and typically a degree in electrical engineering or a related field. Familiarity with DSP libraries, simulation tools like MATLAB/Simulink, and real-time embedded systems is crucial, and certifications in embedded systems or DSP can be beneficial. Strong problem-solving skills, teamwork, and effective communication help you collaborate with multidisciplinary teams and address complex technical challenges. These skills ensure the development of efficient, reliable DSP solutions that meet project requirements in industries such as telecommunications, audio, and automotive.

What are some common challenges faced by Software Digital Signal Processing (DSP) Engineers in collaborative projects?

Software DSP Engineers often work closely with hardware engineers, data scientists, and system architects to develop and optimize signal processing algorithms. A common challenge is ensuring seamless integration between software and hardware components, especially when real-time performance and resource constraints are critical. Clear communication and iterative testing are essential to address discrepancies between simulated results and actual hardware behavior. Additionally, staying updated with evolving DSP frameworks and toolchains helps overcome compatibility and scalability hurdles in collaborative environments.

What does a Software Digital Signal Processing (DSP) Engineer do?

A Software Digital Signal Processing (DSP) Engineer designs, develops, and implements algorithms that process digital signals—such as audio, video, or sensor data—using software. They work on tasks like filtering, encoding, decoding, and compressing signals to improve their quality or extract useful information. DSP Engineers collaborate with hardware engineers and software developers to optimize performance, reduce latency, and ensure the efficient functioning of digital systems. Their work is essential in industries like telecommunications, audio engineering, medical devices, and automotive systems.

Digital Signal Processing (DSP) Engineer

GRVTY

Chantilly, VA

Other

Posted 4 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. 

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