SEI conducts research and development in software engineering, systems engineering, cybersecurity, and many other areas of computing, working to introduce private-sector innovations into government.The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Its 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.
The CERT Threat Analysis (TA) Directorate conducts research and development activities toidentify, analyze, coordinate disclosure, and mitigatethreats andvulnerabilities in systems and software. The TA Directorate is currentlycomprisedofthreeteams: Artificial Intelligence (AI)Security,MalwareandVulnerabilityExploitation, andPlatform and Mission Engineering. The AI Security team workson advancing the state of the art in AI security at a national and global scale.The Malwareand Vulnerability Exploitation (MVE)team works to improve cyber-tradecraft analysis within strategic target communities to counter adversarial use of the Internet and related technologies. Thevulnerabilityside of MVE(home of the CERT Coordination Center) works with an expansive network of vendors, partners, and collaborators to reduce the societal harm of vulnerable software and systems.ThePlatform and Mission Engineering teamdevelops andmaintainstools,environments, and operational support forthemalware analysis, reverse engineering, vulnerability analysis, and AI securitydomains.
As an AI Red Team Engineer on the AI Security team, you will playa central rolein adversary emulation exercises and capability development for our mission partners. Due to our unique position within the TA Directorate, the systems wered-teamfall outside the realm of 'traditional' enterprise red teaming. Our targets are commonly AI-enabled platforms used within national security contexts.
But thisisn'ta "make the LLM say the bad thing" type of AI red team. Weoperateacross multiple domains, meaning that our red teamers are expected to be experts in offensive cyber in addition to AI security. If you are experienced with offensive cyber tradecraft and have an interest in breaking into AI, this could be a good fit. Most of our red teamers are actively taking graduate-level technical courses at CMU and/or pursuing technical certifications. Perpetual learning is a core part of what we do.
While our red team exists within a research organization, research is only aportionof the work performed by our red team. Much of the work will involve red teaming real-world systems, sometimes at an aggressive cadence. This can involve planning and rehearsing red team TTPs, traveling to field sites, and presenting relevant findings. Like most red teams, wedon'tget topick and chooseour targets. This means that our red team needs to be well-rounded (both as individuals and as a team). Thus, we expect all applicants to be savvy with both Windows and Linux, solid with TCP/IP, and have some experience with penetration testing and/or red teaming.
Red team real-world AI-enabled systems(both the model and the hardware/software/network that it runs on) in support of national securityobjectives.
Develop new tactics, techniques, and procedures for attacking AI-enabled systemsand related softwarein order tobetter prepare defenders for real-world threats.
Write tools in Python, PowerShell, C, and BASH to enable red team operations.
Represent the CERT technical portfolio of work and operations; communicate with external mission partners andinternalcollaboratorsin concert with CERT directorates and teams.
BS in computer science, software engineering, networking, information systems, or a related technical field with eight (8) years of experience; MS in computer science or technical/engineering field with five (5) years of experience; PhD in computer science or technical/engineering field with two (2) years of experience or equivalent combination of training and experience. Other educational backgrounds of a technical nature with experience as described may be considered.