Software Engineer 3 - (Python, AI, Vulnerability Research)

Software Engineer 3 - (Python, AI, Vulnerability Research)Clearance: TS/SCI - Polygraph required
Position ID: 20-16-056-SWE3
Location: Columbia, Maryland

Description:

We are seeking an experienced Software Engineer to design, develop, and integrate AI-enabled capabilities supporting computer network exploitation (CNE) and vulnerability research (VR). This role combines strong software engineering fundamentals with practical knowledge of vulnerability research, program analysis, and AI-assisted research workflows. We are particularly interested in candidates with hands-on experience conducting dynamic vulnerability research in isolated sandbox environments. You will independently own complex features and subsystems, translate mission needs into technical designs, and deliver reliable software from prototype through deployment. You will develop agentic AI harnesses that connect large language models, research tools, instrumented execution environments, and backend services to support repeatable, evidence-driven analysis. Working with vulnerability researchers, AI/ML engineers, and mission stakeholders, you will make sound architectural decisions, evaluate AI-generated findings, and improve the quality and effectiveness of research workflows. This position also includes mentoring engineers and contributing to technical direction and engineering standards.

• Design, develop, and maintain AI-enabled software and research tooling supporting CNE and vulnerability research workflows.
• Own the design and delivery of complex features and subsystems, including requirements refinement, implementation, testing, deployment, and sustainment.
• Develop and integrate agentic AI harnesses that orchestrate research tools, manage execution state, collect evidence, and evaluate results.
• Build and extend sandbox-based dynamic analysis capabilities for executing and observing software, capturing runtime behavior, and reproducing suspected vulnerabilities.
• Integrate debugging, instrumentation, fuzzing, crash analysis, and related research tools into automated or researcher-directed workflows.
• Establish repeatable evaluations that measure finding validity, reproducibility, false-positive rates, and the usefulness of AI-assisted analysis.
• Develop backend services, APIs, data pipelines, and user interfaces that make research capabilities accessible and results traceable.
• Troubleshoot complex issues across application code, AI integrations, research tooling, and execution environments; improve performance, reliability, and observability.
• Lead design and code reviews within assigned areas, document technical decisions, mentor engineers, and communicate progress, risks, and tradeoffs to stakeholders.

Position Required Skills: