Experience required
- Bachelor's: 4+ years
About the role
Application Developer 2 - (Ghidra, Linux, AI/LLM)
Clearance: TS/SCI - Polygraph required Position ID: 20-25-027-AD2
Description:
You will join a team breaking new ground in AI-assisted tools for reverse engineering and software development, exercising your skills as a Software Engineer with a solid foundation in Linux, software development, and familiarity with reverse engineering. You'll help evolve how reverse engineers work — combining binary analysis, disassembly, and workflow optimization with emerging AI techniques — and grow your AI/LLM expertise along the way.
- Design and build tooling enhancements for RE workflows.
- Experiment with autonomous or semi-autonomous agents to support development.
- Automate common RE tasks, including analysis and documentation.
- Apply AI-assisted techniques to binary analysis, annotation, and pattern identification.
- Work directly with customers and teammates to shape and refine solutions.
- Measure and document the effectiveness of tooling improvements.
Qualifications
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Hands-on experience with RE tools such as Ghidra or IDA Pro.
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Strong understanding of low-level concepts: Linux file formats, assembly, binaries, memory, calling conventions.
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Curiosity about AI/LLMs and some hands-on dabbling — ready to deepen that skill set on the job.
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Experience developing tools, scripts, or plugins for analysis workflows.
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Proficiency in at least one RE-relevant scripting or programming language (e.g. Python, C/C++, etc.).
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Ability to prototype, evaluate, and refine experimental tooling.
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Atlassian Tools (Jira, Confluence).
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Reverse engineering Linux-based network devices or embedded systems.
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Reverse engineering network traffic and web applications.
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Familiarity with firmware analysis, bootloaders, and networking protocols.
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Some experience applying automation or AI to RE tasks.
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Familiarity with agentic AI frameworks or orchestration systems.
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Experience with additional programming languages (Java, C).
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Analyzing cyber security-related data sets (network traffic, OS events).
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Knowledge of end-to-end SIGINT collection and analysis systems.
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Experience with production CNO capabilities and operations.
Shall have a minimum of a Bachelor of Computer Science or Computer Engineering and a minimum of six (6) years of software/system development work experience or a Masters of Computer Science or Computer Engineering with a minimum of four (4) years of experience.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Salary Range: $213k-$260k (Annually)
Compensation
Posted Annualized Salary: $213,000 – $260,000
