Standard Job Description
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.
Responsibilities include:
- Developing and optimizing signal processing algorithms for time-domain and frequencydomain 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
Basic Qualifications
BS/MS/PhD in one or more of the following:
- Electrical Engineering
- Applied Physics
- Computer Engineering
- Data Science
- Mathematics
5+ years of experience in signal processing, data analysis, or sensing systems
Strong understanding of:
- Digital Signal Processing (DSP)
- Fourier transforms (FFT/STFT)
- Filtering (Kalman, Wiener, adaptive)
- Spectral analysis
- Time-series analysis
- Statistics and probability
Programming experience:
- Python (NumPy, SciPy, Pandas)
- MATLAB
- C/C++
- Git version control
Experience analyzing experimental or sensor datasets
Desired Skills
Machine learning for signal interpretation
Sensor fusion
Bayesian estimation methods
System identification
Real-time processing
Familiarity with cloud or distributed computing
Experience with:
- vibration/acoustic data
- RF systems
- imaging systems
- precision instrumentation
- geophysical or inertial sensing
- multi-stage pipelines to detect weak signals buried in environmental noise
- spectral estimation tools for precision measurement systems
- anomaly detection for production test data
- converting research MATLAB scripts into scalable Python workflows
- sensitivity analysis and uncertainty propagation
Pay Information
Full-Time Salary Range: $104900.00 - $194700.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.