Signal Processing & Data Analysis Engineer
About The Position
Lockheed Martin Rotary and Mission Systems is seeking an experienced Signal Processing & Data Analysis Engineer to develop algorithms, process experimental and production data, and transform raw sensor measurements into actionable insights. This role combines advanced statistical analysis, digital signal processing (DSP), modeling, and software development to support next-generation sensing and measurement systems. The ideal candidate has strong fundamentals in signal processing, practical experience handling real-world noisy datasets, and the ability to move from exploratory analysis into robust production workflows.
Requirements
- BS/MS/PhD in Electrical Engineering, Applied Physics, Computer Engineering, Data Science, or Mathematics
- 5+ years of experience in signal processing, data analysis, or sensing systems
- Strong understanding of Digital Signal Processing (DSP)
- Strong understanding of Fourier transforms (FFT/STFT)
- Strong understanding of Filtering (Kalman, Wiener, adaptive)
- Strong understanding of Spectral analysis
- Strong understanding of Time-series analysis
- Strong understanding of Statistics and probability
- Programming experience in Python (NumPy, SciPy, Pandas)
- Programming experience in MATLAB
- Programming experience in C/C++
- Programming experience with Git version control
- Experience analyzing experimental or sensor datasets
Nice To Haves
- Machine learning for signal interpretation
- Sensor fusion
- Bayesian estimation methods
- System identification
- Real-time processing
- Experience with vibration/acoustic data
- Experience with RF systems
- Experience with imaging systems
- Experience with precision instrumentation
- Experience with geophysical or inertial sensing
- Experience with multi-stage pipelines to detect weak signals buried in environmental noise
- Experience with spectral estimation tools for precision measurement systems
- Experience with anomaly detection for production test data
- Experience converting research MATLAB scripts into scalable Python workflows
- Experience with sensitivity analysis and uncertainty propagation
Responsibilities
- Developing and optimizing signal processing algorithms for time-domain and frequency-domain analysis
- Designing filtering, denoising, feature extraction, and detection pipelines
- Processing large datasets from laboratory and field measurements
- Performing statistical analysis, uncertainty quantification, and anomaly detection
- Developing automated analysis tools and visualization dashboards
- Building calibration and validation workflows for sensors and instrumentation
- Implementing algorithms in Python, MATLAB, or C++
- Working with engineering teams to integrate algorithms into deployed systems
- Documenting analysis methods and communicating results to technical stakeholders
- Supporting experimental design and test planning
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- EAP
- Education Assistance
- Parental Leave
- Paid time off
- Holidays
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What This Job Offers
Job Type
Full-time
Career Level
Senior
