Senior Software Engineer - AI-Assisted Reverse Engineering

Job Description Software Engineer (AI-Assisted Reverse Engineering Tooling) – TS/SCI w/ Poly

Location: Columbia, MD Compensation Range: $200,000 – $250,000 (annualized USD) Clearance Required: Must be a U.S. citizen with an active TS/SCI security clearance with polygraph Description

We are seeking a Software Engineer (AI-Assisted Reverse Engineering Tooling) to improve the tools and workflows used by reverse engineers operating in complex technical environments. This role focuses on enabling automation and AI-assisted capabilities for reverse engineering tasks, including binary analysis, disassembly, and workflow optimization across sophisticated software and device platforms.

The ideal candidate combines strong low-level software expertise with experience building tooling enhancements, plugins, and automation solutions that improve efficiency and analytical capability. You will collaborate closely with technical stakeholders to address real-world reverse engineering challenges and deliver innovative tooling solutions. Responsibilities

• Design and implement tooling enhancements to support reverse engineering workflows
• Extend or integrate reverse engineering tools such as IDA Pro and Ghidra
• Develop automation for common reverse engineering tasks, including analysis and documentation
• Apply AI-assisted techniques to binary analysis, annotation, and pattern identification
• Support reverse engineering of Linux-based network devices and embedded platforms
• Collaborate with stakeholders to understand and address real-world reverse engineering challenges

Skills Requirements

• Hands-on experience with reverse engineering tools such as IDA Pro or Ghidra
• Hands-on experience with AI- or LLM-powered developer tools, including chat-based interfaces or automated coding agents
• Strong understanding of low-level software concepts (assembly, binaries, memory, calling conventions)
• Experience developing software tools, scripts, or plugins to support analysis workflows
• Proficiency in at least one scripting or programming language commonly used in reverse engineering workflows

Nice to Haves

• Experience reverse engineering Linux-based network devices or embedded systems
• Familiarity with firmware analysis, bootloaders, and networking protocols
• Experience applying automation or AI techniques to reverse engineering tasks
• Knowledge of Python or similar scripting languages used in reverse engineering tooling

Education Experience Requirement

12 years of relevant experience with a Bachelor’s degree in a technical discipline

OR

4 additional years of relevant experience may be substituted in lieu of a Bachelor’s degree Compensation Employment Policy

Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 – $250,000 (annualized USD). Benefits Overview

At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance:

• Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents
• Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents
• 401(k): 15% company contribution (no match required)
• PTO: 160 hours, increasing with seniority
• 12 Floating Holidays
• 4 Code Red Days

EEO Statement

Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. , About Intezra, Inc.

Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.