Carnegie Mellon University
The AI Security Software Engineer at the Software Engineering Institute (SEI) develops machine learning prototypes and tools to secure AI systems and address cyber threats. The role involves collaborating with researchers to execute experimental security solutions, apply software engineering best practices, and analyze large cybersecurity datasets. Work includes supporting AI red teaming initiatives and translating research concepts into operational capabilities for national security missions.
Headquarters
Pittsburgh, Pennsylvania, United States
Company Size
5001-10000 employees
Founded
1900
CMU is a global research university known for its world-class, interdisciplinary programs: arts, business, computing, engineering, humanities, policy and science.
CMU’s Robotics Innovation Center Secures FieldAI as Inaugural Corporate Tenant
2 weeks ago
2025 Most Disruptive Business School Startups: Basics, Carnegie Mellon University (Tepper)
Jan 4, 2026
Inside of Carnegie Mellon University’s new robotics center, where machines jump, swim and fly
1 week ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Carnegie Mellon University.
4% above the average for this role
EdBoard: Carnegie Mellon University wants you to be employed at the cost of our lives
2 weeks ago
Manager, Cyber Assessment (Penetration Testing)
Oracle
AI Security Software Engineer
Software Engineering Institute
Manager, Cyber Assessment (Penetration Testing)
Oracle
Manager, Cyber Assessment (Penetration Testing)
Oracle
Adversarial Machine Learning Engineer - Red Teaming
C-Serv Commercial Services
Principal AI Security Researcher
ActiveFence