2026 Raytheon Summer Intern - Modeling And Simulation Engineer - Onsite

Integrated Solutions Modeling And Architecture Directorate Director

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Integrated Solutions Modeling and Architecture (ISMA) directorate is composed of an energetic multi-disciplinary team of over 300 engineers working collaboratively with internal and external customers and programs to provide mission level modeling & simulation of sensing & effects capabilities from seabed to space, multi-level operation analysis, integrated system of system architectures and operations research. We are at the front end of the business pushing the boundaries of innovation and creativity to establish next-generation mission solutions from system level up to campaign-level.

What You Will Do

• You will contribute your knowledge of programming, data analysis and problem-solving to modeling and simulation or related efforts.
• You will support, contribute, and collaborate in a team environment, receiving input and guidance from functional management, project leads, and more experienced teammates. You will gain an initial understanding of operational analysis by participating in either mission or campaign analysis, or other related projects.

Qualifications You Must Have

• Must be a Senior, or Post Graduate standing level by the start of Summer 2026 and pursuing a BS or MS in Science, Technology, Engineering or Mathematics (STEM).
• Experience with data analysis using tools like Excel, Python, Minitab and JMP
• Experience working with teams

Qualifications We Prefer

• Specific majors: Computer Science, Physics, Electrical Engineering, Aerospace Engineering, Systems Engineering, Operations Research, Mathematics, Applied Mathematics, Industrial Engineering, or related scientific or STEM discipline.
• Minimum 3.5 cumulative GPA
• Knowledge of DevOps, Git, databases, Linux/UNIX
• Knowledge of C++, Java, MATLAB
• Awareness of Six Sigma Techniques
• Experience with any modeling and simulation software

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.

Location: Tucson, AZ

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.