Senior AI Security Software Engineer
CMU AI · 2 Locations
Research instituteonsitesenior
At a glance
Highlights
- Build ML prototypes to solve AI security challenges for national mission.
- Lead AI red teaming and adversarial ML for large-scale security programs.
- Shape national AI and cyber strategy with elite researchers and faculty.
What they offer
- 8% employer retirement contribution with no employee contribution required
- Comprehensive medical, prescription, dental and vision insurance
- Tuition benefits
- Paid time off and observed holidays
- Paid parental and military leave
- Professional development including conferences and certifications
- Relocation assistance
Ideal candidate
Research-driven engineer with deep ML and software experience who thrives on hard security problems, collaborates across disciplines, and wants their prototypes to strengthen national AI resilience.
Requirements
- BS in computer science, machine learning, cybersecurity, statistics or related with 10 years experience, or MS with 8 years, or PhD with 5 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
- Willingness 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
Posted · Last seen