AI Security Software Engineer: Transform AI Defense with ML

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

8% employer retirement contribution

Tuition benefits for employees and dep

Relocation assistance

Job summary

Carnegie Mellon University’s SEI CERT Division is seeking an AI Security Software Engineer to develop ML-based prototypes and tools for AI security and resilience. You will collaborate with researchers and customers to design experiments and translate research into practical capabilities in a security-focused environment.

You will work on large-scale AI security programs, generative AI awareness, data analytics, and adversarial ML, with opportunities for cross-disciplinary collaboration and

Qualifications

• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
• 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.

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

Skills

Software engineering principles

System design

Containerization

Microservices

Travel readiness

Education

BS in Computer Science / ML / Cybersecurity / Statistics

MS in same fields

PhD in same fields

Job description

Carnegie Mellon University’s SEI CERT Division is seeking an AI Security Software Engineer to develop ML-based prototypes and tools for AI security and resilience. You will collaborate with researchers and customers to design experiments and translate research into practical capabilities in a security-focused environment.

You will work on large-scale AI security programs, generative AI awareness, data analytics, and adversarial ML, with opportunities for cross-disciplinary collaboration and