Graduate Signal Processing Engineer for Defense Systems

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory in Laurel, MD seeks a 2027 Graduate - Signal Processing/Communications Engineer to join the Networked Systems and Integrated Fires Group for algorithm development in air and missile defense.

You will model, analyze, and improve systems using MATLAB, Python, and C++, contributing to distributed defense solutions and advancing in a team with strong growth opportunities.

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Mathematics, Physics, or a related field
• Theoretical knowledge in probability, statistics, linear algebra, algorithms, signal processing, wireless/communications theory
• Experience using MATLAB, Python, and/or C/C++ for algorithm development and simulation

Responsibilities

• Your primary responsibility will be contributing to the development of distributed air and missile defense systems
• You will model, analyze, and study performance of current systems, identify opportunities for improvements, and propose and develop new algorithms and concepts
• You will provide status updates, analysis results and algorithms in written reports and in presentations
• You will be a part of a group with many possibilities for growth and advancement

Skills

Analytical skills

Effective communication

Education

Bachelor's or Master's degree in Electrical Engineering, Mathematics, Physics, or a related field

Tools

MATLAB

Python

C/C++

Job description

The Johns Hopkins University Applied Physics Laboratory in Laurel, MD seeks a 2027 Graduate - Signal Processing/Communications Engineer to join the Networked Systems and Integrated Fires Group for algorithm development in air and missile defense.

You will model, analyze, and improve systems using MATLAB, Python, and C++, contributing to distributed defense solutions and advancing in a team with strong growth opportunities.