The AI Security Software Engineer role at the CERT Division of the Software Engineering Institute (SEI) involves developing machine learning-based prototypes, tools, and systems to address critical AI security challenges. This senior-level position requires collaborating with researchers and stakeholders to design experimental solutions while applying software engineering best practices for scalable system development. The ideal candidate will process large cybersecurity datasets using advanced analytical skills and support adversarial machine learning initiatives. Key qualifications include a strong background in computer science or related fields, experience with containerization and microservices architectures, and familiarity with applied machine learning domains such as natural language processing and cybersecurity best practices. This role offers the opportunity to work on cutting-edge technologies alongside leading experts, contributing significantly to national security efforts.
Skills
Python
Java
C++
ML frameworks
Data analytics tools
Cybersecurity datasets
Containerization
Microservices
CI/CD
Kubernetes
Docker
AWS
Azure
Google Cloud Platform
PostgreSQL
MongoDB
Git
Jenkins
Prometheus
Grafana
What you'll do
Develop machine learning–based prototypes and tools for AI security applications.
Design and execute experimental AI security solutions with researchers and stakeholders.
Process and analyze large cybersecurity datasets using analytical skills.
Support AI red teaming and adversarial machine learning initiatives.
Translate research concepts into practical operational capabilities independently.
What we're looking for
BS in computer science or related field with 8 years of experience; MS with 5 years; PhD with 2 years
Strong expertise in machine learning development and deployment for AI security applications
Experience applying statistical modeling and advanced data analytics techniques to cybersecurity datasets
Understanding of software engineering principles, system design, containerization, and microservices architectures
Background in developing AI/ML solutions in real-world settings, including adversarial machine learning initiatives
Market check
Salary context
This listing doesn't show a salary. Similar roles on FindRole typically pay
$130,497–$225,100.
Peer median band
$130,497–$225,100
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$142,450–$223,000
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Carnegie Mellon University
Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research
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