Senior AI-Enabled Vulnerability Research Engineer

Dover Networks LLC; Maryland; On-site; USD 260,000 - 285,000; Full time

Job summary

Dover Networks LLC in Maryland seeks an experienced Software Engineer to design, implement, and integrate AI-enabled capabilities for CNE and vulnerability research. The role requires a strong foundation in software engineering and hands-on vulnerability research in sandbox environments.

You will own complex features end-to-end, mentor engineers, and help define engineering standards while evaluating AI-generated results and ensuring repeatable, evidence-driven analysis.

Qualifications

• Experience independently designing, implementing, testing, and delivering complex software features or subsystems.

Responsibilities

• 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.

Skills

Python

AI-enabled CNE

Vulnerability research

Reverse engineering

Dynamic analysis

Fuzzing

Linux

Git

CI/CD

REST APIs

Education

B.S. in technical discipline

Tools

FastAPI

Flask

Django

PostgreSQL

Job description

Dover Networks LLC in Maryland seeks an experienced Software Engineer to design, implement, and integrate AI-enabled capabilities for CNE and vulnerability research. The role requires a strong foundation in software engineering and hands-on vulnerability research in sandbox environments.

You will own complex features end-to-end, mentor engineers, and help define engineering standards while evaluating AI-generated results and ensuring repeatable, evidence-driven analysis.