- Expedition Technology
- Herndon, VA
- Full-Time
- 7 days ago
Digital Signal Processing Software Engineer - R156.
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Digital Signal Processing Software Engineer - R156: our view in 3 lines...
- The Role:This role is for a software engineer developing digital signal processing and machine learning solutions for US intelligence and defense programs.
- The Person:The person will design DSP solutions, research and develop DSP and machine learning algorithms, create models for signal data, and transition signal-processing neural networks into field-ready real-time systems.
- Requirements:The candidate needs a BA/BS in a relevant technical discipline, 5+ years creating DSP solutions, an active Top Secret/SCI clearance, and programming experience with X-Midas or Python-based DSP frameworks.
About the role
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
Compensation Ranges:
Salary Ranges by Career Level:
Early-career: $95,600 - $147,200
Mid-career: $130,300 - $209,900
Late-career: $154,600 - $242,900
We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels, and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled, and other job-related considerations.