Vulnerability Analyst

SEI conducts applied research and development in software engineering, cybersecurity, and AI in support of government sponsors. The SEI works closely with defense and government organizations, industry, and academia to continually improve and secure software-intensive systems. Our core purposes are to help organizations improve software engineering capabilities, advance cybersecurity methods and technologies, and bring the discipline of software engineering to AI systems.

SEI conducts applied research and development in software engineering, cybersecurity, and AI in support of government sponsors. The SEI works closely with defense and government organizations, industry, and academia to continually improve and secure software-intensive systems. Our core purposes are to help organizations improve software engineering capabilities, advance cybersecurity methods and technologies, and bring the discipline of software engineering to AI systems.

Once a Computer Emergency Response Team that formed in 1988 in response to the Morris Worm, today the SEI CERT Division leads as a Cybersecurity Engineering and Resilience Team conducting collaborative and innovative evidence-based research to fortify the cyber ecosystem and protect national security and prosperity. The Threat Analysis Directorate builds on CERT’s nearly 40 years of applied research aimed at solving the Nation’s most difficult cybersecurity challenges.

Our mission is to advance the state-of-the-art and practice for analyzing, assuring, and countering software systems to enhance National Security. Our team of ~40 professionals work in a highly collaborative environment with specialties including AI security, advanced malware analysis and reverse engineering, and vulnerability analysis. We conduct the applied research necessary to develop and accelerate cyber tradecraft advantages against threats to National Security.

Apply state-of-the-art approaches to understanding systemic vulnerabilities in software systems and how attackers adapt their tradecraft to exploit those vulnerabilities

• Evaluate the effectiveness of tools, techniques, and processes developed by industry and the security research community
• Develop models, tools, and data sets that can be used to characterize the threats to—and vulnerabilities in—software systems, and publish those results
• Develop machine learning-based prototypes, products, and tools to solve and automate solutions to AI-related security problems
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team.

• Mission-Driven Curiosity:
  You are deeply interested in cybersecurity, AI, and automation, and you want your work to have impacts beyond your organization. You pick up new technologies and domains quickly and adapt as the threat landscape changes.
• AI and Vulnerability Research Expertise:
  You have hands‑on experience in AI-based research, vulnerability research and analysis, and statistical modeling. You understand rigorous research methods in computer science, engineering, security, AI, and related fields, as well as of internet fundamentals including network protocols, provider operations, and governance.
• Applied AI/ML Engineering:
  You have experience developing software in Python and other modern languages, and you've built AI/ML solutions that work outside the lab. You know what it takes to get from prototype to something people actually use.
• Security and Internet Fundamentals:
  You know cybersecurity best practices and have a strong grasp of how the internet works, including network protocols, provider operations, and governance. That foundation lets you see where AI…