Digital Signal Processing Software Engineer - R115

Posted 3 Days Ago
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Herndon, VA, USA
In-Office
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Defense
The Role
Design and implement advanced digital signal processing and machine learning algorithms for radar, EW, SIGINT, and RF geolocation; prototype and transition DSP/ML models to real-time, field-ready software across on‑premises and cloud environments in support of US intelligence and defense missions.
Summary Generated by Built In
Are you looking for an exciting opportunity to work with a dynamic team and make a difference in our defense and intelligence efforts? Expedition Technology (EXP) in Herndon, VA, is seeking highly motivated software engineers with a digital signal processing (DSP) background to join our team. If you join us, you will work across a small group of programs in support of the Intelligence Community (IC) and the US Department of War (DoW). The problems we solve are challenging and stimulating, and our solutions create an impact on our National Security interests.
 
What do we look for?
We’re looking for team members who are:
  • Intellectually curious and are stimulated by researching and developing new and advanced techniques and technologies in the areas of digital signal processing and machine learning
  • Eager to embrace investigating complex problems without obvious solutions
  • Thrive in highly collaborative, multidisciplinary team environments, working closely with software engineers, DevOps, and other domain experts to deliver mission-focused solutions. Passionate about working meaningful programs that protect our nation’s and allies’ security
 
 If this sounds like you, read on to see what you’ll be doing as part of our team.
 
As a member of our collaborative team, you will:
  • Design and implement complex signal processing solutions that support US intelligence and defense agencies
  • Research and develop advanced DSP and machine learning algorithms and techniques in application 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 to field-ready, real-time software applications and systems
  • Take a full‑system, end‑to‑end mindset when designing solutions with consideration of signal collection, processing, software implementation, deployment, and operational integration
 
What do you need to succeed?
  • United States citizenship and an active Top Secret/SCI security clearance
  • BA/BS in electrical engineering, physics, applied mathematics, computer science, or related technical discipline
  • 5+ years of demonstrated experience creating, developing, and implementing DSP solutions in support of IC and DoW needs in on premises, hybrid on-premises/cloud, and pure cloud processing platforms
  • Strong communication skills to convey complex technical concepts, both internally and to external groups, including customers
  • Ability to rapidly develop prototype DSP and ML algorithm concepts and ideas, with an eye towards operationalization
  • Programming experience in SIGINT‑relevant DSP environments (e.g., X‑Midas, Python‑based DSP frameworks, real‑time processing pipelines)

Clearance Required:  Top Secret/SCI 

Skills Required

  • United States citizenship
  • Active Top Secret/SCI security clearance
  • BA/BS in electrical engineering, physics, applied mathematics, computer science, or related technical discipline
  • 5+ years creating, developing, and implementing DSP solutions supporting the Intelligence Community and Department of War
  • Experience with on-premises, hybrid, and cloud processing platforms
  • Programming experience in SIGINT-relevant DSP environments (e.g., X-Midas, Python-based DSP frameworks, real-time processing pipelines)
  • Ability to rapidly develop prototype DSP and ML algorithm concepts and operationalize them
  • Strong communication skills to convey complex technical concepts to internal teams and customers
Am I A Good Fit?
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The Company
124 Employees
Year Founded: 2013

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