Senior AI Security Software Engineer

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

Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come.

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 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 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

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.

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.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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 .

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