Modeling, Simulation & Analysis Intern (Summer 2027
Listed on 2026-08-22
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Engineering
Systems Engineer, Computer Science, Robotics, Aerospace / Aviation / Avionics
RTX Modeling, Simulation & Analysis Intern
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.
The Processing, Guidance & Control (PG&C) Center, within the Systems Engineering Directorate, consists of Signal Processing, Guidance, Navigation and Control as well as Modeling, Simulation Analysis (MSA) disciplines. PG&C delivers key technologies to our effector programs portfolio. The Guidance, Navigation, and Control teams provide aerodynamic and autopilot designs, optimized system motion designs, and state estimation to facilitate mission guidance goals. The Signal Processing teams extract and exploit signals from both active and passive sensors to be used for acquiring, detecting, tracking, and classifying objects of interest.
The MSA teams are responsible for product-level simulations that help us design, develop, verify, and validate our products and capabilities. Our simulations model the components and subsystems that make up our designs, and the world our products interact with.
What You Will Do:
The Modeling, Simulation & Analysis Intern will work within a multi-discipline team (e.g. Guidance, Navigation, and Control, Signal Processing, Mechanical Design) to design and develop differing levels of fidelity simulation models which represent the components of a system. This includes the ability to read, debug, edit and create computer programming code to enhance simulation models, creating and executing unit tests on the models to verify functionality, documenting the design and test results, and integrating with other component models in a complex system simulation environment.
The MSA Intern will support simulations in a high-performance computing environment, which can include the use of Graphics Processing Units, to support missile system design/trade studies, performance assessment, and system test. This Engineer will work within a team to develop analysis of the data for the specific task as well as provide insight and understanding of the system performance, recognizing and troubleshooting any anomalies observed in the simulation results.
The MSA Intern will support the solutions provided to meet their defined requirements and function as needed through rigorous verification and validation. This activity utilizes data from multiple sources up to and including system level flight testing.
This position is an onsite role.
Please note:
We are not seeking engineers with an AutoCAD or 3-D modeling background or network modeling from an IT perspective.
Qualifications You Must Have:
- Must be pursuing a BS degree in Electrical Engineering, Computer Engineering, Mathematics, Computer Science, or related Science, Technology, Engineering and Mathematics (STEM) degree.
- Must have a minimum of 60 hours of credit by the start of the internship / co-op session.
- Academic or applied experience coding in C++
- Academic or applied experience using tools such as MATLAB or Python for analysis of data sets
- Academic or applied experience in modeling, simulation, statistics, or analysis as related to understanding the behavior and performance of existing or proposed engineering solutions
- The ability to obtain and maintain a U.S. government issued Secret Security Clearance is required prior to start date with the ability to obtain program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
- Experience may be obtained through on-the-job experience, research, coursework, or projects.
Qualifications We Prefer:
- Specific majors:
Electrical Engineering, Computer Engineering, Mechanical Engineering, Software Engineering, Aerospace Engineering, Systems Engineering, Computer Science, other Engineering disciplines, Physics, Math, or related field. - ABET accredited curriculum with a 3.00 cumulative GPA is desired
- Proficiency in Linux or Unix
- Knowledge/course work of radar, signal & image processing, digital communications, control theories, estimation theory and/or electro optics
- Knowledge of physics, random variables, and its application to solving engineering problems
- Ability to maintain frequent communication with project leads and customers
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.
Learn More & Apply Now!
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