Malware Analysis Software Developer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

3h•Onsite

About The Position

We are seeking a motivated and creative Cyber Analytics Software Engineer who will design, develop, test, and maintain software tools and analytic capabilities that support malware analysis, reverse engineering, and cyber threat analysis. You will analyze malicious software, adversarial techniques, and suspicious behaviors to support defensive cyber operations and national security missions. Develop scalable and maintainable software for binary analysis, behavioral analysis, telemetry processing, detection engineering, and automated cyber analytics. Work on multidisciplinary teams staffed with world-class experts in cybersecurity, software engineering, data science, and computer systems research. Develop software that enables analysts to better understand malware functionality, persistence mechanisms, command-and-control behavior, exploitation techniques, and system impacts. Participate in projects involving reverse engineering, systems programming, software architecture, distributed systems, data analysis, automation, and visualization. Devise and implement algorithms, frameworks, and new analytic approaches that improve malware detection, classification, and understanding of adversarial behavior. Analyze software, system artifacts, and operational data to identify malicious behaviors, vulnerabilities, and opportunities to improve defensive capabilities. Share knowledge by clearly articulating ideas through technical papers, presentations, and demonstrations to technical staff, management, and Government decision makers. Join an environment that promotes professional growth, work/life balance, and technical development. Have opportunities to participate in fun, social activities like our weekly game nights and yearly summer cookout!

Requirements

A Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Applied Math, or a related field.
2+ years of professional experience or a combination of relevant internship, research, or graduate experience in software engineering, cybersecurity, malware analysis, reverse engineering, or related areas.
Experience developing software in one or more programming languages such as Python, C++, Rust, Java, Go, or JavaScript/TypeScript.
Experience working with Linux-based development environments and modern software engineering practices including version control, testing, and continuous integration.
Familiarity with malware analysis, reverse engineering, binary analysis, operating systems internals, or cybersecurity concepts.
Ability to understand complex software systems and develop robust, maintainable solutions in collaborative environments.
Interest in local limited travel, which may be required.
Ability to obtain an Interim Top Secret level security clearance by your start date. 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.
Demonstrate strong interpersonal skills and the ability to work independently and on a team.

Nice To Haves

A Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Applied Math, or a related field, and 5+ years of experience in software engineering, malware analysis, reverse engineering, cyber threat analysis, or related areas.
Experience performing malware analysis, reverse engineering, behavioral analysis, or binary analysis on Windows and Linux platforms.
Experience with tools and frameworks such as Ghidra, IDA Pro, Binary Ninja, x64dbg, WinDbg, YARA, Wireshark, Volatility, or similar analysis platforms.
Experience with low-level systems programming, operating systems internals, networking, or exploitation techniques.
Experience developing software for cyber analytics, telemetry processing, detection engineering, or automated analysis pipelines.
Experience with scripting and automation using Python or similar languages.
Familiarity with virtualization, containers, cloud infrastructure, or distributed systems.
Experience writing published papers and presenting results to conferences/workshops.
Current DoD clearance and prior experience working with Government agencies or Research Labs.

Responsibilities

Design, develop, test, and maintain software tools and analytic capabilities that support malware analysis, reverse engineering, and cyber threat analysis.
Analyze malicious software, adversarial techniques, and suspicious behaviors to support defensive cyber operations and national security missions.
Develop scalable and maintainable software for binary analysis, behavioral analysis, telemetry processing, detection engineering, and automated cyber analytics.
Work on multidisciplinary teams staffed with world-class experts in cybersecurity, software engineering, data science, and computer systems research.
Develop software that enables analysts to better understand malware functionality, persistence mechanisms, command-and-control behavior, exploitation techniques, and system impacts.
Participate in projects involving reverse engineering, systems programming, software architecture, distributed systems, data analysis, automation, and visualization.
Devise and implement algorithms, frameworks, and new analytic approaches that improve malware detection, classification, and understanding of adversarial behavior.
Analyze software, system artifacts, and operational data to identify malicious behaviors, vulnerabilities, and opportunities to improve defensive capabilities.
Share knowledge by clearly articulating ideas through technical papers, presentations, and demonstrations to technical staff, management, and Government decision makers.