Lead All-Source Intelligence Engineer

What you will do:

• Develop tools and automated workflows to sift through large datasets and identify information relevant for modeling and intelligence efforts
• Apply all-source intelligence tradecraft and technical analysis to create system models from circuit diagrams, schematics, source code, signal processing algorithms, and reverse-engineered components
• Leverage intelligence databases and analytic tools to support technical collection and threat modeling
• Create custom query logic and scripts to extract, correlate, and analyze data across multiple databases and intelligence repositories
• Work in multi-disciplinary teams to tackle challenging problems from a wide variety of technologies to develop innovative cybersecurity solutions
• Apply network analysis, communications intelligence (COMINT), and signals intelligence (SIGINT) tradecraft to technical problems
• Document, demonstrate, and present research findings to technical and non-technical audiences
• Brief leadership on project status, technical findings, and operational impacts
• Solve real world problems that have an impact on national security
• Who you are:
• This position requires an Active Top Secret (TS) security clearance with active CI polygraph (or willingness to obtain CI polygraph), for which U.S. citizenship is needed by the U.S. Government
• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or related field (or equivalent work experience) with a minimum of 8 years relevant experience
• Intelligence community experience with demonstrated proficiency in:
• All-source intelligence tools and databases (e.g., DataXplorer, XKeyScore, or similar)
• Intelligence Oversight (IO) policies and procedures
• Strong programming skills in Python, C/C++, or similar languages
• Experience with data analysis and automation: pandas, SQL queries, scripting for data extraction
• General understanding of electrical engineering: Circuit and flow diagrams, signal processing chains, network traffic data
• Proficiency with modeling tools: SPICE, MATLAB, or similar