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

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. #J-18808-Ljbffr Dover Networks LLC