Skip to content
← CMU AI

Senior Cybersecurity Engineer

CMU AI · 2 Locations

Research instituteonsitesenior
Apply on the lab’s site ↗

At a glance

Highlights

  • Support resilience and security of national mission-critical services daily.
  • Advise defense and critical infrastructure leaders as trusted advisor.
  • Develop frameworks, models, tools and training to improve resilience.

What they offer

  • Comprehensive medical, prescription, dental and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Ample paid time off and observed holidays
  • Life and accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Family Concierge Team to help navigate childcare needs
  • Fitness center access

Ideal candidate

A collaborative, mission-driven cybersecurity leader who thrives advising government and industry partners and translating complex resilience challenges into practical solutions to protect national services.

Requirements

  • BS in relevant discipline with 10 years applicable experience, or MS with 8 years, or PhD with 5 years
  • Mid-to-senior industry experience managing information security risks and implementing controls
  • Mid-to-senior experience managing technology controls and risks including cloud and infrastructure
  • Mid-to-senior experience managing continuity risks such as business continuity and disaster recovery
  • Experience deploying information technology including security tech or networks
  • Consulting experience with private industry or government customers including leading engagements
  • Familiarity with cybersecurity and resilience standards such as NIST CSF, NIST SP 800 series, 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 such as CMMI
  • Track record of successfully leading projects for a technical discipline
  • Ability to collaborate diplomatically with customers, coworkers and staff

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
More about CMU AI →
Apply on the lab’s site ↗

Posted · Last seen