Leonardo DRS Airborne and Intelligence Systems is seeking a motivated RF Systems Intern to gain hands-on experience in the development, integration, testing, and production of RF systems, contributing to defense and intelligence operations.
Requirements
- Foundational understanding of RF systems, signal processing, or electromagnetics through coursework or projects.
- Familiarity with tools such as Ansys, SPICE, Python, and/or Excel for modeling, simulation, and data analysis.
- Exposure to linear algebra, probability & statistics, and differential equations, supporting the analysis of complex RF and SIGINT systems.
- Interest in open-standard architectures and modular system design principles.
- Coursework or hands-on experience in communications systems, digital signal processing, or RF engineering.
- Familiarity with system integration and test environments, especially in modular or scalable architectures.
- Exposure to complex variables, Fourier analysis, or control systems is a plus.
Responsibilities
- Conduct design analysis, calculation, RF performance simulations, and/or system modeling under the supervision of Systems Engineers and Architects
- Assist engineers with appropriate design details
- Gather and assemble data for engineers
- May be required to help in research in a particular field
- Work closely with and assist Systems engineers on various systems engineering activities
- Conduct limited scope testing under the supervision of engineers
- Perform a wide variety of tasks to gain familiarity with the engineering staff, methods, programs, and practices
Other
- Currently pursuing a Bachelor's degree in Engineering, Physics, Mathematics, or related technical discipline.
- Must have good interpersonal skills and have the ability to build a good network
- Support, communicate, reinforce, and defend the mission, values, and culture of the organization
- Strong analytical skills with the ability to evaluate trade-offs in high-performance system architectures, such as dynamic range and signal integrity.
- Excellent written and verbal communication skills with the ability to collaborate effectively in multi-disciplinary teams and contribute to technical discussions.
