Cybersecurity Engineer
CMU AI · Pittsburgh, PA
Research instituteonsitemid-senior
At a glance
Highlights
- Protect mission-critical services supporting national security and stability.
- Advise defense and critical infrastructure partners on resilience.
- Research novel methods for managing cybersecurity resilience.
What they offer
- Comprehensive medical, prescription, dental and vision insurance
- Generous retirement savings program with employer contributions
- Tuition benefits
- Paid time off and observed holidays
- Life and accidental death and disability insurance
- Free Pittsburgh Regional Transit bus pass
- Family Concierge Team for childcare needs
- Fitness center access
Ideal candidate
Mid-to-senior cybersecurity professional who thrives advising government and industry partners and leading collaborative projects. Mission-driven, diplomatic, and research-curious with a passion for national resilience.
Requirements
- BS in relevant discipline with 8 years applicable experience or MS with 5 years or PhD with 2 years
- Track record of successfully leading projects for a technical discipline
- Mid-to-senior experience managing information security risks and implementing controls
- Experience managing technology controls and risks including change, infrastructure and cloud
- Experience managing continuity controls such as business continuity and disaster recovery
- Experience deploying information technology including security technology or networks
- Consulting experience with private industry or government customers including leading engagements
- Familiarity with cybersecurity and resilience standards e.g. NIST CSF, NIST SP 800, ISO 27000
- Knowledge of audit and assessment methodologies, tactics, techniques and procedures
- Knowledge of critical infrastructure protection concepts and standards
- Understanding of maturity model concepts e.g. CMMI, Financial Sector Cyber Profile
- Ability to work collaboratively and diplomatically with customers and colleagues
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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