AI Security Software Engineer

About the role

The CERT Division of the Software Engineering Institute (SEI) seeks an AI Security Software Engineer to contribute to the advancement of AI security. With a focus on securing critical infrastructure, this role involves developing machine learning-based prototypes, tools, and systems for AI security applications.

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

Requirements

• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with 8 years of experience; OR MS in the same fields with 5 years of experience; OR PhD in the same fields with 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 (within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion)

Qualifications

• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with 8 years of experience; OR MS in the same fields with 5 years of experience; OR PhD in the same fields with 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 (within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion)

Skills

• Strong expertise in ML development and deployment
• Effective communication skills across technical and non-technical audiences
• Scalable, maintainable system design
• Large, diverse cybersecurity dataset analysis
• AI red teaming and adversarial machine learning initiatives
• Ability to translate research concepts into practical, operational capabilities

Benefits

• 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
• Relocation assistance

Pay

Salary range: $100,000 - $150,000 annually

Schedule

Full-time position