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# DSP - Software Engineer

- **Company:** GRVTY, LLC
- **Location:** Reston, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, C++ (Programming Language), Configuration Management, Computer Engineering, Linux, Python (Programming Language), Signal Processing, Data Logging, HybridCloud, Git, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Data Pipelines, Docker
- **Published:** August 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9075572/dsp-software-engineer

## About the Role

* Active TS/SCI clearance with CI Polygraph.
 * BS in Computer Science, Computer Engineering, Electrical Engineering or related degree type.
 * 2+ years of related experience.
 * Experience with digital signal processing (DSP) and signals analysis.
 * Strong Linux skills.
 * Experienced with using Git and version control.
 * Experienced with Python.
 * Strong communication skills, including presentation of processes and results to a variety of audiences, and strong written skills relating to documentation of methods, results, and appropriate caveats.

What Would be Nice to Have

 * Experience with containers (Docker) and Kubernetes operations.
 * Experience with AWS or hybrid cloud deployments.
 * Experience with C++.
 * Enthusiasm for signal analysis and its insights with a desire to share and mentor junior analysts on techniques and best practices.

## Description

Develop DSP software and methods within a novel architecture to provide near real-time insights to customers. You will be working closely with a team of signal analysts, DSP experts, and software developers to take the customer vision from whiteboard to operations.

What You'll be Owning

 * Custom-written DSP modules that produce detection, geolocation data, and other customer-specified products.
 * Processes for automating DSP techniques to streamline and optimize reporting by generating graphical and text-based outputs.
 * Operate Windows and Linux based compute environments that support high throughput RF processing, including GPU nodes when needed.
 * Implement monitoring, logging, alerting, and operational dashboards for services and data pipelines.
 * Automate infrastructure and operational workflows using scripting and configuration management.
 * Produce documentation and runbooks to support operations teams and mission users.


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