Graduate Signal Processing Engineer for Defense Systems

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

Vor Ort

USD 85.000 - 165.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

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.

Qualifikationen

  • 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

Aufgaben

  • 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

Kenntnisse

Analytical skills
Effective communication

Ausbildung

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

Tools

MATLAB
Python
C/C++

Jobbeschreibung

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.

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