Senior AI Security Software Engineer

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission.Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more.Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come. Key ResponsibilitiesDevelop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deploymentCollaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiencesApply software engineering best practices to build scalable, maintainable systems, grounded design principlesProcess and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skillsSupport AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindsetTranslate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative teamMinimum QualificationsBS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experienceUnderstanding of software engineering principles and system designExperience with containerization and microservices architecturesTravel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).  You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.Preferred QualificationsExperience applying statistical modeling and advanced data analytics techniquesBackground in developing AI/ML solutions in real-world settingsFamiliarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)Experience and knowledge in cybersecurity best practicesDemonstrated ability to quickly learn and adapt to new technologies and domainsWhy Join UsContribute to a world-class organization with significant impact on software and national securityWork with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering8% employer retirement contribution (no employee contribution required)Tuition benefits for employees and their dependent childrenFlexible work arrangements and strong work-life balancePaid parental and military leaveProfessional development opportunities, including conference attendance and certificationsQualify for relocation assistance and so much more.LocationArlington, VA, Pittsburgh, PAJob FunctionSoftware/Applications Development/EngineeringPosition TypeStaff – RegularFull time/Part timeFull timePay BasisSalaryMore Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefitsCarnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of AssuranceSummaryLocation: Pittsburgh, PA; Arlington, VAType: Full time