Software Engineer
TS/SCI w/ FS Poly Required
Confirmed live in the last 24 hours
Expedition Technology

51-200 employees

AI-driven solutions for defense and intelligence sectors
Company Overview
Expedition Technology Inc. (EXP) stands out as a leader in the defense and intelligence sectors, offering specialized solutions in signal processing, computer vision, and deep learning, all underpinned by advanced AI/ML capabilities. The company's comprehensive expertise, spanning from web development to embedded systems, empowers them to tackle complex C4ISR challenges, thereby contributing to products and services of national significance. EXP's commitment to rigorous testing and quality assurance, as evidenced by their coding philosophy, ensures the reliability and robustness of their solutions, setting them apart from competitors.
AI & Machine Learning
Data & Analytics
Aerospace

Company Stage

N/A

Total Funding

N/A

Founded

2013

Headquarters

Herndon, Virginia

Growth & Insights
Headcount

6 month growth

14%

1 year growth

29%

2 year growth

78%
Locations
Hyattsville, MD, USA • Reston, VA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
CategoriesNew
Backend Engineering
Security Engineering
Software Engineering
Requirements
  • Must be a US Citizen and have a current TS/ SCI clearance with Full Scope Polygraph
  • BA/BS, MS or PhD degree with relevant experience in electrical engineering/signal processing, physics, applied mathematics, computer science, or related technical discipline
  • Strong background in software engineering
  • Experience with digital signal processing, communication theory, and applied RF Machine Learning is beneficial, but not required
  • Ability to rapidly prototype algorithm concepts to evaluate performance and to guide research direction
  • Strong C++ and Python programming skills
  • Strong communication skills with the ability to communicate complex technical concepts to stakeholders
Responsibilities
  • Collaborate with a team to research, develop, design, and implement complex signal processing solutions in customer systems
  • Support and integrate advanced AI / machine learning algorithms and techniques in SIGINT application areas
  • Analyze complex problems and phenomenology with focus on developing RF machine learning capabilities to process signals more effectively
  • Transition RF / ML prototypes to field-ready software applications and real-time systems