Electronic Warfare RF Engineer & Analyst

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

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) in the Baltimore-Washington area seeks an Electronic Warfare RF Engineer/Analyst to model, analyze, and test advanced RF systems for EW missions. You will run threat simulations, design lab/field tests, and translate data into actionable recommendations with a team of engineers and scientists.

Ideal candidates hold a BS/MS in engineering or a related field, are proficient in MATLAB/Python/C/C++, and can travel occasionally;

Qualifications

• BS/MS degree in Aerospace, Mechanical, Electrical Engineering, CS, Mathematics, Physics or related technical field
• Coursework or project experience in RF systems, communications, DSP, embedded systems, software, modeling & simulation, or data analysis
• Familiarity with MATLAB, Python, C, or C++
• Willing to travel occasionally for tests/integration
• Eligibility for Interim Secret security clearance by start date and ability to obtain Top Secret clearance; US citizenship required

Responsibilities

• Support development of algorithms, software tools, and signal-processing approaches for EW applications
• Hands-on work with RF test equipment, SDRs, embedded systems, antennas, analyzers
• Plan, execute, and analyze lab and field Test & Evaluation activities and post-test data
• Apply RF theory and signal processing to understand threat behavior and attack vectors
• Contribute to RF/hardware-in-the-loop test and improve test tools and workflows

Skills

MATLAB

Python

C

C++

Education

BS or MS in Engineering/CS/Math/Physics

Tools

Spectrum analyzers

Signal generators

Oscilloscopes

Software-defined radios

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) in the Baltimore-Washington area seeks an Electronic Warfare RF Engineer/Analyst to model, analyze, and test advanced RF systems for EW missions. You will run threat simulations, design lab/field tests, and translate data into actionable recommendations with a team of engineers and scientists.

Ideal candidates hold a BS/MS in engineering or a related field, are proficient in MATLAB/Python/C/C++, and can travel occasionally;