Digital Signal Processing Software Engineer - R156

Expedition Technology•Herndon, VA
•$95,600 - $242,900

About The Position

Expedition Technology (EXP) is seeking motivated software engineers with a digital signal processing (DSP) background to work across a small group of programs supporting the Intelligence Community and the US Department of War. The role develops mission-focused solutions to challenging problems that support national security interests. The position may be filled at multiple career levels. The engineer will research and develop DSP and machine learning algorithms and techniques, design signal-processing solutions, and transition models and neural networks into field-ready, real-time software applications and systems. Work calls for an end-to-end perspective spanning signal collection, processing, software implementation, deployment, and operational integration, in collaborative multidisciplinary teams.

Requirements

  • United States citizenship.
  • An active Top Secret/SCI security clearance.
  • A BA/BS in electrical engineering, physics, applied mathematics, computer science, or a related technical discipline.
  • At least 5 years of demonstrated experience creating, developing, and implementing DSP solutions supporting IC and DoW needs on on-premises, hybrid on-premises/cloud, and pure cloud processing platforms.
  • Strong communication skills, including the ability to convey complex technical concepts internally and to external groups, including customers.
  • Ability to rapidly develop prototype DSP and machine-learning algorithm concepts and ideas with an eye toward operationalization.
  • Programming experience in SIGINT-relevant DSP environments, such as X-Midas, Python-based DSP frameworks, or real-time processing pipelines.

Responsibilities

  • Design and implement complex signal-processing solutions supporting US intelligence and defense agencies.
  • Research and develop advanced DSP and machine-learning algorithms and techniques for areas including radar, electronic warfare, SIGINT, and RF geo-location.
  • Create DSP and machine-learning models that process and understand signal data faster, more accurately, and more efficiently.
  • Transition DSP and signal-processing-based neural networks into field-ready, real-time software applications and systems.
  • Design solutions with an end-to-end perspective that considers signal collection, processing, software implementation, deployment, and operational integration.
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