Jobs · Engineering · Virginia

AI Security Software Engineer

Carnegie Mellon University · Arlington, VA · 1 mo ago
EngineeringFull-time

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 supporting the national security mission, the SEI works on experimental designs, AI red teaming, and counter AI applications, leveraging a wide range of cyber-related data.

Responsibilities

  • Develop machine learning–based prototypes, tools, and systems for AI security applications
  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions
  • Apply software engineering best practices to build scalable, maintainable systems
  • Process and analyze large, diverse cybersecurity datasets using strong analytical and problem-solving skills
  • Support AI red teaming and adversarial machine learning initiatives
  • Translate research concepts into practical, operational capabilities

Requirements

  • Bachelor's degree in computer science, machine learning, cybersecurity, statistics, or related discipline with 8 years of experience
  • Master's degree in the same fields with 5 years of experience
  • PhD in the same fields with 2 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 8 years of experience
  • MS in the same fields with 5 years of experience
  • PhD in the same fields with 2 years of experience
  • BS in computer science, machine learning, cybersecurity, statistics, or related discipline with 8 years of experience
  • MS in the same fields with 5 years of experience
  • PhD in the same fields with 2 years of experience

Skills

  • Strong expertise in ML development and deployment
  • Experience with containerization and microservices architectures
  • Experience applying statistical modeling and advanced data analytics techniques
  • 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

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 benefits

Pay

Salary is commensurate with experience.

Schedule

Full-time position with occasional travel to support the SEI’s overall mission.

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