Senior AI Red Team Lead - Offensive Security

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Tuition benefits

Paid time off

Medical insurance

Bus pass

Fitness center access

Job summary

Carnegie Mellon University seeks an AI Red Team Engineer to lead adversary emulation and capability development on the AI Security team. You will work on red‑teaming AI-enabled platforms used in national security contexts, across Windows and Linux, with strong offensive cyber background.

The role involves planning, traveling to field sites, and presenting findings. CMU offers robust benefits and opportunities for perpetual learning and mentorship.

Qualifications

• Bachelor's degree in a technical field with extensive experience in offensive cyber and AI security.
• Experience with penetration testing, red teaming, or exploit development is required.

Responsibilities

• Red team real-world AI-enabled systems to support national security objectives.
• Develop new TTPs for attacking AI-enabled systems to prep defenders for real-world threats.
• Write tools in Python, PowerShell, C, and BASH to enable red team operations.
• Represent CERT portfolio and communicate with mission partners and internal teams.

Skills

Penetration testing

Red teaming

Python

C

BASH

PowerShell

Cobalt Strike

Sliver

Wireshark

Education

BS in computer science / software engineering / related field

MS in computer science or technical/engineering field

PhD in computer science or technical/engineering field

OSCP / CPTS / FORGE/RIOT / GXPN / GAWN / GCPN / CRTO / CRTL / OSEP / OSWE / CCNA / CWEE certifications

Tools

Ghidra

IDA Pro

Job description

Carnegie Mellon University seeks an AI Red Team Engineer to lead adversary emulation and capability development on the AI Security team. You will work on red‑teaming AI-enabled platforms used in national security contexts, across Windows and Linux, with strong offensive cyber background.

The role involves planning, traveling to field sites, and presenting findings. CMU offers robust benefits and opportunities for perpetual learning and mentorship.