Reverse Engineer & Threat Analysis Specialist

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Retirement contribution

Tuition benefits

Flexible work arrangements

Paid parental leave

Military leave

Transit benefit

Professional development

Relocation assistance

Job summary

The Software Engineering Institute (SEI) at Carnegie Mellon University in Pittsburgh, PA is seeking a Reverse Engineer Researcher for the Threat Analysis directorate. The role focuses on reverse engineering malware, developing novel analysis methods, and exploring AI-assisted techniques to improve defense capabilities.

Ideal candidates hold a BS or MS in computer science or related fields with practical malware analysis experience, strong writing skills, and willingness to travel up to 15%.

Qualifications

• Reverse engineer malware for high-impact customers and develop analysis methods.

Responsibilities

• Reverse engineer malicious code to support high-impact customers and develop analysis methods.
• Perform in-depth reverse engineering and document results in reports and presentations.
• Explore use of AI to support reverse engineering and apply to AI systems.
• Design, prototype, and transition new analysis methods and tools.
• Identify and document emerging complex active security threats.
• Participate in broader security community through collaboration, papers, and presentations.

Skills

Reverse engineering

Malware analysis

AI in RE

C/C++

Python

IDA Pro

Ghidra

WinDbg

Frida

QEMU

PE/ELF/Mach-O

Wireshark

Kernel debugging

Unicorn Engine

Education

BS in Computer Science or related

MS in Computer Science or related

Tools

ID A Pro

Binary Ninja

Job description

The Software Engineering Institute (SEI) at Carnegie Mellon University in Pittsburgh, PA is seeking a Reverse Engineer Researcher for the Threat Analysis directorate. The role focuses on reverse engineering malware, developing novel analysis methods, and exploring AI-assisted techniques to improve defense capabilities.

Ideal candidates hold a BS or MS in computer science or related fields with practical malware analysis experience, strong writing skills, and willingness to travel up to 15%.