Electrical Engineer — Real-Time Radar & ML Systems

Booz Allen Hamilton; Wharton (NJ); Vor Ort; USD 62.000 - 141.000; Vollzeit

Zusammenfassung

Booz Allen Hamilton is seeking engineers to join a team supporting research, design, development, testing, and integration of electrical equipment and systems for diverse applications. You will apply foundational electrical theory, materials, and system behavior to solve technical problems under experienced guidance.

The role includes analyses, PCB design/testing, and hardware-in-the-loop or real-time system work, offering growth as tasks become more complex.

Qualifikationen

• Electrical or computer engineering background with internship or professional experience.
• Familiarity with signal processing concepts or algorithms.
• Exposure to machine learning techniques (CNN, RNN) at a basic level.
• Experience with hardware-in-the-loop or real-time systems in academic or work settings.
• Knowledge of PCB fundamentals and testing or design activities.
• Programming skills in Python, C, C++, or MATLAB.
• Understanding radar principles, waveforms or signal processing methods.
• Ability to obtain a Secret clearance.

Aufgaben

• Support research, design, development, testing, and integration of electrical systems.
• Assist with hardware-in-the-loop or real-time system work.
• Analyze problems and contribute to tasks of increasing complexity.

Kenntnisse

Electrical engineering

Signal processing

Machine learning basics

Embedded systems

Python/C/C++/MATLAB

Radar concepts

PCB fundamentals

Ausbildung

Bachelor's degree in Electrical Engineering or Computer Engineering

Tools

Python

C/C++

MATLAB

Jobbeschreibung

Booz Allen Hamilton is seeking engineers to join a team supporting research, design, development, testing, and integration of electrical equipment and systems for diverse applications. You will apply foundational electrical theory, materials, and system behavior to solve technical problems under experienced guidance.

The role includes analyses, PCB design/testing, and hardware-in-the-loop or real-time system work, offering growth as tasks become more complex.