AI-Driven Reverse Engineer & Malware Analyst

General Dynamics Information Technology; Maryland; On-site; USD 110,000 - 160,000; Full time

Job summary

General Dynamics Information Technology is seeking a Reverse Engineer/Malware Analyst to contribute to national security missions through advanced cyber work. The role emphasizes malware analysis, reverse engineering, and applying AI tools to complex problems.

You will collaborate with cross-functional teams to optimize research workflows, document findings, and drive improvements in vulnerability assessment across federal programs.

Qualifications

• Bachelor of Science degree in a relevant engineering discipline as listed above.
• Demonstrated exposure in three or more areas: cybersecurity, software reverse engineering, AI/ML development, CI/CD pipelines.
• Foundational understanding of networking concepts (TCP/IP, routing, network security).
• Strong written communication and problem-solving abilities; demonstrated internships in technical roles.

Responsibilities

• Support optimization and enhancement of behavior characterization and reverse engineering of items under study.
• Collaborate with colleagues and stakeholders.
• Drive efficiencies in vulnerability research and reverse engineering outcomes.
• Utilize modern AI tools and models.

Skills

Cybersecurity

Software reverse engineering

AI/ML development

CI/CD pipelines

Networking fundamentals

Technical communication

Education

Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, Cybersecurity, or a closely related engineering discipline

Job description

General Dynamics Information Technology is seeking a Reverse Engineer/Malware Analyst to contribute to national security missions through advanced cyber work. The role emphasizes malware analysis, reverse engineering, and applying AI tools to complex problems.

You will collaborate with cross-functional teams to optimize research workflows, document findings, and drive improvements in vulnerability assessment across federal programs.