Cyber Capabilities Engineer & Researcher

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD, seeks candidates for the Cyber Warfare Systems Group to advance offensive security capabilities and cyber operations research.

You will join multidisciplinary teams and apply vulnerability research, networking, cryptography, information theory, modeling, and software development to challenging cyber mission problems, and you may explore AI-enabled approaches while evaluating risks.

Qualifications

• Degree in a technical field (CS/Engineering/Math/Cybersecurity) or related.
• Experience or projects in vulnerability research, networking, cryptography, or modeling.
• Interest in creating working technical solutions from ideas.

Responsibilities

• Work on multidisciplinary teams to turn ideas into mission-relevant capabilities.
• Apply methods across vulnerability research, cybersecurity, and data science to address cyber challenges.
• Experiment with emerging technologies including AI-enabled approaches and assess risks.
• Design and develop models, prototypes, software, or tools for cyber operations.
• Investigate systems to understand behavior, security properties, and vulnerabilities.

Skills

Vulnerability research

Cybersecurity

Networking

Penetration testing

Cryptography

Information theory

Modeling and simulation

Software development

Data science

AI/ML concepts

Education

Bachelor's or Master's degree in CS/Engineering/Math/Cybersecurity

Tools

OSINT

Public information analysis

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD, seeks candidates for the Cyber Warfare Systems Group to advance offensive security capabilities and cyber operations research.

You will join multidisciplinary teams and apply vulnerability research, networking, cryptography, information theory, modeling, and software development to challenging cyber mission problems, and you may explore AI-enabled approaches while evaluating risks.