## 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.