Application Developer; AD), Level 2

Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying
. We are not sponsoring or processing clearances for this position
. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.

Salary Range: $200k-$219k per year with an additional $50k-$55k in immediately vested company 401(k) contributions

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.
• Skills Requirements:
  Hands-on experience with RE tools such as Ghidra or IDA Pro.
• Strong understanding of low-level concepts:
  Linux file formats, assembly, binaries, memory, calling conventions.
• Curiosity about AI/LLMs and some hands-on dabbling — ready to deepen that skill set on the job.
• Experience developing tools, scripts, or plugins for analysis workflows.
• Proficiency in at least one RE-relevant scripting or programming language (e.g. Python, C/C++, etc.).
• Ability to prototype, evaluate, and refine experimental tooling.
• Atlassian Tools (Jira, Confluence).

• Reverse engineering Linux-based network devices or embedded systems.
• Reverse engineering network traffic and web applications.
• Familiarity with firmware analysis, bootloaders, and networking protocols.
• Some experience applying automation or AI to RE tasks.
• Familiarity with agentic AI frameworks or orchestration systems.
• Experience with additional programming languages (Java,
  
  C).
• Analyzing cyber security-related data sets (network traffic, OS events).
• Knowledge of end-to-end SIGINT collection and analysis systems.
• Experience with production CNO capabilities and operations.

6 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. or 4 yrs., M.S.