Digital Signal Processing; DSP Engineer Security Clearance

Position: Digital Signal Processing (DSP) Engineer with Security Clearance
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.