Software Engineering Intern (Summer 2027)

Date Posted:
2026-09-28


Country:
United States of America


Location:
US-IA-CEDAR RAPIDS-124 ~ 400 Collins Rd NE ~ BLDG 124


Position Role Type:
Onsite


U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position.​ The company will not seek an export authorization for this role.


Security Clearance Type:
None/Not Required


Security Clearance Status:
Not Required
Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.
What You Will Do
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
Help build the future of aerospace certification! We are seeking a motivated college student to support development of the Heuristic Certification Agent, an agentic AI system being developed to help engineers identify certification concerns earlier, improve lifecycle data quality, and reduce certification rework.
You will work with experienced software, systems, and aerospace engineers, certification specialists, and AI/ML developers to help develop and evaluate the knowledge used by the Heuristic Certification Agent. Your work may include:
Researching aerospace regulations, certification guidance, and industry standards.
Helping organize certification knowledge into structured forms that AI systems can understand.
Analyzing historical certification issues, regulatory findings, and engineering lessons learned.
Identifying recurring patterns that experienced engineers use to recognize potential certification problems.
Developing heuristics practical rules and indicators—that can help AI identify possible compliance concerns.
Exploring relationships between certification Canons, Doctrines, Chronicles, and Heuristics.
Supporting development of certification knowledge graphs and structured knowledge repositories.
Creating datasets and examples for evaluating Large Language Models and AI agents.
Developing prompts and evaluation scenarios for AI-assisted certification reviews.
What You Will Learn
You will have an opportunity to learn how:
Safety-critical aerospace products are developed and approved.
Regulations and industry standards influence engineering decisions.
Experienced certification engineers evaluate complex systems.
Knowledge can be captured and structured for AI reasoning.
AI agents can collaborate to analyze engineering information.
Large Language Models can be evaluated for use in high-assurance environments.
Explainability, traceability, evidence, and human review affect the use of AI in safety-critical engineering.
Emerging AI technologies may change aerospace development and certification over the next several decades.
Qualifications You Must Have
Must be pursuing a Bachelor's or advanced degree in Computer Science, Artificial Intelligence/Machine Learning, Data Science, Aerospace, Systems, Software, Computer Engineering or related Science, Technology, Engineering, or Mathematics (STEM) major and actively enrolled through the completion of the internship/co-op session.
Knowledge of basic software tools/principles (such as Python, AI, etc.)
Qualifications We Prefer
Large Language Models
Generative AI
Agentic AI
Retrieval-Augmented Generation
Natural Language Processing
Knowledge graphs
Graph databases
Data analytics
Machine learning
Prompt engineering
Software development
Systems engineering
Requirements engineering
Model-Based Systems Engineering
Curiosity about how complex engineering systems work.
Interest in artificial intelligence, machine learning, or Large Language Models.
Strong analytical and problem-solving skills.
Ability to organize complex information and recognize patterns.
Good written and verbal communication skills.
Interest in learning from experienced engineers and subject-matter experts.
Willingness to challenge assumptions and explore new approaches.
What We Offer
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX, we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Relocation, if eligible
Learn More & Apply Now!
Please consider the following role type definition as you apply for this role.
Onsite: Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
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