Software Engineer Intern (Summer 2027) - Onsite

Socket.dev; Cambridge (MA); On-site; USD 37,000 - 82,000; Full time

Benefits offered by this job

Relocation eligibility

Job summary

RTX seeks a student or early-career professional for an aerospace-focused role, onsite in the Cambridge area. You will join a small team to advance machine learning models and prototype software using open-source tools.

You will incorporate feedback from end users and field tests, collaborate with world-class colleagues, and deliver practical solutions to complex problems. Ideal candidates are pursuing a Bachelor's or advanced degree in CS/CE/EE and have experience with Java or Python.

Qualifications

• Must be pursuing a Bachelor's degree or Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field and actively enrolled through completion of the internship
• Experience with Java and/or Python
• Experience with distributed systems and machine learning
• Experience may be obtained through on-the-job experience, research, course

Responsibilities

• Work with a small team on cutting-edge research and development projects, focusing on developing machine learning models
• Design and develop prototype software using the latest open-source technologies
• Receive and incorporate feedback from end users, field tests, and exercises
• Explore technical possibilities collaboratively with motivated, world class colleagues
• Deliver practical solutions to complex problems

Skills

Java

Python

Distributed systems

Machine learning

Education

Bachelor's or advanced degree in CS/CE/EE

Job description

Date Posted:

2026-09-19

Country:

United States of America

Location:

US-MA-CAMBRIDGE-BBN06 ~ 10 & 50 Moulton St ~ MOULTON B6

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

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:

• Work with a small team on cutting-edge research and development projects, focusing on developing machine learning models
• Design and develop prototype software using the latest open-source technologies
• Receive and incorporate feedback from end users, field tests, and exercises
• Explore technical possibilities collaboratively with motivated, world class colleagues
• Deliver practical solutions to complex problems

Qualifications You Must Have:

• Must be pursuing a Bachelors degree or Advanced degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant field and actively enrolled through completion of the internship
• Experience with Java and/or Python
• Experience with distributed systems and machine learning
• Experience may be obtained through on-the-job experience, research, course

Qualifications We Prefer:

• Prior RTX internship, co-op, or work experience
• Creative problem solving and experimental design
• Good oral and written communication skills
• Work in a self-directed manner as part of a team

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.
• Relocation Eligibility

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.