Cybersecurity & Secure Systems Engineering Intern

RTX; Cedar Rapids (IA); On-site; USD 49,000 - 82,000; Full time

Benefits offered by this job

Relocation eligible

Medical insurance

Dental insurance

401(k) match

Flexible work schedules

Paid time off

Job summary

RTX's Secure System Engineering team invites applications for a Summer 2027 Secure System Engineer Intern in Cedar Rapids, Iowa. You will help build cyber-resilient embedded systems, support SSDLC, and develop tools for verification and security testing.

You will gain hands-on experience with fuzzing techniques, threat modeling, and Python-driven automation while collaborating with cross-functional engineering teams to strengthen data isolation and access controls.

Qualifications

• Pursuing a Bachelor's or Advanced degree and enrolled through the internship session.
• Minimum of 60 credit hours by the start of the internship.
• Solid understanding of fundamental cybersecurity principles.
• High proficiency in Python programming.
• Familiarity with Linux operating systems.
• Basic knowledge of network protocols and secure architectures.

Responsibilities

• Assist with fuzzing and penetration tests to evaluate attack surface.
• Develop threat models and data flow diagrams to ensure data is properly isolated in transit and at rest.
• Implement mandatory access controls (MAC) through the development of SELinux policies.
• Participate in code reviews to identify weaknesses in the implementation of security functions.
• Conduct vulnerability assessments on proposed and in-service systems.
• Develop and improve tools and scripts that enhance the overall efficacy of the Embedded Product Cybersecurity team.

Skills

Cybersecurity basics

Python

Linux

Networking fundamentals

Education

Bachelor's degree in CS/EE/related

Tools

SELinux policies

Fuzzing tools

Git

Job description

RTX's Secure System Engineering team invites applications for a Summer 2027 Secure System Engineer Intern in Cedar Rapids, Iowa. You will help build cyber-resilient embedded systems, support SSDLC, and develop tools for verification and security testing.

You will gain hands-on experience with fuzzing techniques, threat modeling, and Python-driven automation while collaborating with cross-functional engineering teams to strengthen data isolation and access controls.