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Application Developer (AD), Level 2 [D.26.0213]

$200k - $219k

Dover Networks LLC

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

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 will 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.

Responsibilities:

  • 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).

Nice to Haves:

  • 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.

YOE Requirement:

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

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Vacancy posted 4 days ago
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