Modeling, Simulation & Analysis Intern (Summer 2027)

RTX•Tucson, AZ

8d•$37,000 - $82,000•Onsite

About The Position

This requisition is for an RTX intern returning for an internship in 2027. 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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.
Read, debug, edit and create computer programming code to enhance simulation models.
Create and execute unit tests on the models to verify functionality.
Document the design and test results.
Integrate with other component models in a complex system simulation environment.
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.
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.
Support the solutions provided to meet their defined requirements and function as needed through rigorous verification and validation.
Utilize data from multiple sources up to and including system level flight testing.