Senior AI Security Software Engineer

About the role

The CERT Division of the Software Engineering Institute (SEI) seeks a Senior AI Security Software Engineer to contribute to shaping the future of AI security. With a focus on advancing the resilience of software systems and responding to sophisticated cyber threats, the SEI plays a crucial role in supporting the national security mission.

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 in 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 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 experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures

Qualifications

• BS 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 experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures

Skills

• Strong expertise in ML development and deployment
• Experience with software engineering best practices
• Ability to process and analyze large, diverse cybersecurity datasets
• Knowledge of 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

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 and other perks

Pay

Salary range: $140,000 - $170,000 annually

Schedule

Full-time position