AI Security Engineer - Build Resilience for Systems

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Tuition benefits for employees and/or/

Flexible work arrangements

8% employer retirement contribution

Conference attendance and professional

Job summary

Software Engineering Institute | Carnegie Mellon University in Arlington, VA and Pittsburgh, PA seeks an AI Security Software Engineer to develop machine learning–based prototypes and tools for AI security applications. You will collaborate with researchers to design experimental AI security solutions and apply software engineering practices to build scalable systems.

The role involves processing large cybersecurity datasets, supporting AI red teaming and adversarial ML, and translating research

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 (5% travel)
• 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.
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions.
• Apply software engineering best practices to build scalable, maintainable systems.
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data).
• Support AI red teaming and adversarial machine learning initiatives.
• 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

Security clearance readiness

Education

PhD in CS/ML/Cybersecurity

MS in CS/ML/Cybersecurity

BS in CS/ML/Cybersecurity

Job description

Software Engineering Institute | Carnegie Mellon University in Arlington, VA and Pittsburgh, PA seeks an AI Security Software Engineer to develop machine learning–based prototypes and tools for AI security applications. You will collaborate with researchers to design experimental AI security solutions and apply software engineering practices to build scalable systems.

The role involves processing large cybersecurity datasets, supporting AI red teaming and adversarial ML, and translating research