AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University; Arlington (VA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

8% employer retirement contribution

Tuition benefits for employees and dependents

Flexible work arrangements

Paid parental and military leave

Professional development opportunities

Relocation assistance

Job summary

The Software Engineering Institute at Carnegie Mellon University is seeking an AI Security Software Engineer to enhance cybersecurity through AI-driven innovations. Candidates should have a strong foundation in machine learning and software engineering principles.

With a focus on advanced security solutions, the role demands collaboration with leading experts and the processing of complex datasets. Competitive benefits, including retirement contributions and educational assistance, are offered in a dynamic work environment.

Qualifications

• Understanding of software engineering principles and system design.
• Experience with containerization and microservices architectures.
• Ability to work independently and as part of a collaborative team.

Responsibilities

• Develop machine learning-based prototypes for AI security applications.
• Collaborate with researchers to execute AI security solutions.
• Process and analyze large cybersecurity datasets.

Skills

Machine learning development

Software engineering principles

Analytical skills

Containerization experience

Statistical modeling

Education

BS in computer science, machine learning, cybersecurity, or related discipline

MS in the same fields

PhD in the same fields

Job description

Job Overview

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of 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.

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 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.

Minimum 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, including 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

Arlington, VA, 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