AI Security Software Engineer
CMU AI · 2 Locations
Research instituteonsitesenior
At a glance
Highlights
- Develop ML-based prototypes, tools, and systems for AI security applications.
- Support AI red teaming and adversarial ML research programs at scale.
- Work with elite AI and cybersecurity experts influencing national strategy.
What they offer
- 8% employer retirement contribution with no employee contribution required
- Comprehensive medical, prescription, dental and vision insurance
- Tuition benefits and professional development including conferences
- Paid parental and military leave plus generous paid time off
- Relocation assistance available
Ideal candidate
Research-driven engineer passionate about AI security and national resilience who thrives turning research concepts into operational tools alongside elite researchers.
Requirements
- BS in computer science, machine learning, cybersecurity, statistics or related with 8 years experience; MS with 5 years; PhD with 2 years
- Understanding of software engineering principles and system design
- Experience with containerization and microservices architectures
- Ability to pass background check and obtain and maintain Department of War security clearance
- Willing to travel up to 5% to sponsor sites, conferences and meetings
Lab profile
About CMU AI
Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.
What they build
- Multimodal behavior analysis algorithms
- Autonomy systems
- Cybersecurity analytics prototypes
Known for
- Multimodal machine learning
- Computer vision and human behavior modeling
- AI engineering for defense
- Software engineering and cyber resilience
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