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Salary: USD 100,000 - 160,000 / annual
Cognitive Space is seeking an RF SIGINT Technical Analyst to support the development and operationalization of multi-intelligence mission management and collection-feasibility capabilities within the CNTIENT platform.
You will serve as an RF/SIGINT subject-matter bridge between mission users, commercial data providers, and engineering teams. Key responsibilities include:
• Onboarding commercial SIGINT providers into CNTIENT by defining integration requirements and validating end-to-end data flows
• Defining and validating SIGINT collection-feasibility capabilities, including view-to-target analysis, sensitivity estimates, and probability of successful collection
• Supporting geolocation-feasibility analysis by evaluating satellite pairings, calculating dilution of precision, and ranking collection options
• Translating RF/SIGINT mission workflows and operational needs into system and feature requirements, test scenarios, and improvements to the CNTIENT feasibility engine
• Serving as an embedded mission user of CNTIENT, regularly testing capabilities and providing iterative feedback to ensure the product reflects real-world mission workflows and customer needs
• Collaborating with engineers, mission stakeholders, and commercial providers throughout the development cycle to test emerging capabilities, analyze tasking and orchestration workflows, resolve operational bottlenecks, validate results, and support technical reviews and customer demonstrations
The role is based in the Washington, DC area and work will be performed at designated government-approved contractor facilities as required.
REQUIREMENTS:
• US Citizenship with an active TS/SCI clearance with CI Polygraph (required)
• Bachelor's degree in Electrical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Computer Science, Intelligence Studies, or a related technical field, or equivalent work experience
• 2–5 years of experience supporting RF/SIGINT collection, processing, analysis, mission planning, collection management, or related technical intelligence activities
• Experience using Python or similar scripting and data-analysis tools to process, visualize, or validate RF, geospatial, or mission data
• Strong understanding of RF/SIGINT collection feasibility, including sensor geometry, sensitivity, and operational collection constraints
• Working knowledge of satellite operations, overhead collection systems, and multi-constellation collection planning or tasking
• Experience analyzing geospatial, mission, or technical data using quantitative methods to evaluate collection opportunities
• Ability to translate technical data, provider requirements, and operational needs into clear system requirements and recommendations
• Strong analytical, problem-solving, and communication skills, with the ability to present technical findings, lead discussions and meetings with customers and stakeholders, and collaborate effectively across engineering, mission, program, and external teams
NICE TO HAVE:
• Experience with geolocation-feasibility analysis and dilution-of-precision calculations
• Familiarity with modern web-based or LLM-enabled GenAI products and iterative product development
• Familiarity with APIs, structured data exchanges, and integration workflows used to connect external data providers to mission applications
• Familiarity with AI/ML-assisted feasibility scoring, automated tasking, mission management, or multi-intelligence orchestration
