Assistant AI Security Software Engineer

Carnegie Mellon University

Pittsburgh, United States of America

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Assistant 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 Responsibilities Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences Apply software engineering best practices to build scalable, maintainable systems, grounded design principles Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team Minimum Qualifications BS in computer science, machine learning, cybersecurity, statistics, or related discipline. Understanding of software engineering principles and system design. Experience with containerization and microservices architectures. Travel 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 Qualifications Experience applying statistical modeling and advanced data analytics techniques Background in developing AI/ML solutions in real-world settings Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis) Experience and knowledge in cybersecurity best practices Demonstrated ability to quickly learn and adapt to new technologies and domains Why Join Us Contribute to a world-class organization with significant impact on software and national security Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering 8% employer retirement contribution (no employee contribution required) Tuition benefits for employees and their dependent children Flexible work arrangements and strong work-life balance Paid parental and military leave Professional development opportunities, including conference attendance and certifications Qualify for relocation assistance and so much more. Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff – Regular Full time/Part time Full time Pay Basis Salary More 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 benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance Effective August 24, the URL for the SEI Careers site will change to https://cmu.wd115.myworkdayjobs.com/SEI. Always focused on the future, the Software Engineering Institute (SEI) advances software as a strategic advantage for national security. We lead research and direct transition of software engineering, cybersecurity, and artificial intelligence technologies at the intersection of academia, industry, and government. We serve the nation as a federally funded research and development center (FFRDC) sponsored by the U.S. Department of Defense (DoD) and are based at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Our people apply special knowledge and skills and are part of an elite research university. We perform research and apply our expertise every day to foresee problems and exploit opportunities in software engineering, AI engineering, and cybersecurity. Quality software that is secure will control the future. At CMU SEI, we are engineering that ever-greater software-fueled future. Need Help? For technical assistance, email hr-help@andrew.cmu.edu or call 412-268-5072. We are committed to providing an accessible experience throughout our recruitment process. If you need assistance or a reasonable accommodation at any stage of the application, interview, or hiring process, please contact Equal Opportunity Services by email at employeeaccess@andrew.cmu.edu or by phone at 412-268-3930.