Signal Processing Engineer

Johns Hopkins Applied Physics Laboratory (APL) seeks a Signal Processing Engineer to join our Engineering & Design team in the Defense & Aerospace sector. You will design and implement advanced algorithms for radar, EW, and communications systems, analyze complex sensor data, and develop high-fidelity simulations in MATLAB and Python. Collaborating with experts across disciplines, you’ll prototype and transition concepts to real-time systems supporting critical national security missions. APL offers a mission-driven, collaborative culture with strong support for innovation, graduate education, and long-term professional growth.
Design, implement, and optimize advanced signal processing algorithms for radar, EW, and communications systems
Analyze complex sensor and waveform data to extract, detect, and classify signals in high-noise environments
Develop simulations, models, and prototypes in MATLAB/Python to evaluate system performance and trade spaces
Collaborate with multidisciplinary engineering and design teams to integrate algorithms into real-time systems
Document methods, results, and architectures; present findings to sponsors and technical stakeholders
Support field tests, data collections, and experimental evaluations of new signal processing concepts
Digital signal processing (DSP) theory
Radar and communications signal processing
MATLAB and Simulink
Python (NumPy/SciPy)
C/C++ for embedded/real-time systems
Statistical signal processing and estimation
Detection, tracking, and classification algorithms
Simulation and modeling of RF systems
Fourier, time-frequency, and spectral analysis
Version control and software best practices
Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
401k
MS or PhD in Electrical Engineering, Applied Physics, or related field
Active or attainable U.S. security clearance eligibility
Experience on DoD or aerospace/defense programs
Relevant publications or conference presentations in signal processing or radar/communications