AI-Enabled Cyber Capabilities Developer

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 290,000; Full time

Benefits offered by this job

Generous education assistance program

Unmatched retirement contributions

Healthy work/life balance

Job summary

The Johns Hopkins Applied Physics Laboratory is seeking experts in offensive cyber to leverage AI technology in reverse engineering and vulnerability research. This role emphasizes designing AI-native architectures to tackle complex cyber challenges, with expectations for innovative thinking and collaboration.

Qualifications include a Bachelor's degree in a computer-related field, at least 5 years of relevant experience, and proficiency with tools like Ghidra and modern AI development platforms. The position is based in Laurel, Maryland.

Generous benefits and a vibrant culture are part of the package, with salaries ranging from $105,000 to $290,000 annually.

Qualifications

• At least 5 years of relevant experience.
• Experience developing AI systems for planning, memory, and tool use.
• Active TS/SCI clearance required.

Responsibilities

• Reverse engineer mission-relevant systems and develop exploits.
• Design and implement AI systems for vulnerability research.
• Collaborate to build mission-aligned capabilities.

Skills

Agentic AI systems

Software debugging

Programming languages

Unix/Linux

Technical problem-solving

Education

Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering

Tools

Ghidra

Claude Code

Gemini

Codex

Copilot

Job description

Are you passionate about building AI-enabled capabilities that accelerate reverse engineering and vulnerability research? Do you want to design systems that can reason, plan, use tools, and rapidly demonstrate mission impact? If so, we want you to join our group of offensive cyber experts! We are seeking reverse engineers, vulnerability researchers, and cyber capability developers who know how to leverage modern AI technology to solve complex cyber challenges. This is not a traditional software development role! It requires designing AI-native architectures, orchestrating tool-using agents, and rapidly iterating on prototypes that demonstrate functional, outcome-driven impact. We work in a dynamic, mission-driven environment where our efforts have real-world impact. Collaboration is at the heart of our culture, and we value multidisciplinary perspectives, curiosity, and continuous learning. We encourage our staff to explore emerging technologies, share knowledge, and deepen their expertise as they take on some of the nation's toughest challenges.

Responsibilities

• Reverse engineer mission-relevant systems and develop innovative exploits
• Design and implement agentic AI systems to automate vulnerability research, reverse engineering, and capability development workflows
• Collaborate with government sponsors and operators to build mission-aligned capabilities
• Integrate large language models, AI services, external tools, and data sources into full-stack applications for cyber use cases
• Propose groundbreaking ideas for internal and external funding opportunities
• Mentor teammates in the art and science of using AI to enhance offensive cyber capability development
• Share knowledge by clearly articulating ideas through papers and presentations to team members, APL management, and government decision makers

Qualifications

• Have a Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field
• At least 5 years of relevant experience
• Have experience developing agentic AI systems including planning, memory, tool use, and multi-step reasoning workflows
• Are skilled with software debuggers and static analysis tools such as Ghidra
• Have experience with modern AI development platforms such as Claude Code, Gemini, Codex, or Copilot
• Are proficient with one or more programming languages
• Understand Unix/Linux operating systems
• Love solving puzzles and have experience persevering through technical challenges
• Hold an active TS/SCI clearance and can ultimately obtain a TS/SCI+Polygraph clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information; eligibility requirements include U.S. citizenship.

Preferred Qualifications

• Previously held dynamic technical leadership roles and have demonstrated mentoring experience
• Have experience applying AI systems to reverse engineering, vulnerability research, or exploit development
• Have experience designing production-grade agent workflows, including orchestration, evaluation, guardrails, observability, and reliability testing
• Have familiarity with virtualization, emulation, sandboxing, or automated analysis environments
• Have knowledge of advanced vulnerability discovery tools
• Possess an active TS/SCI clearance with full scope polygraph

Benefits and Culture

Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore‑Washington metro area.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [e-mail].

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary depending on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. Additional compensation may be provided in the form of a sign‑on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance.

Minimum Rate: $105,000 Annually

Maximum Rate: $290,000 Annually