## 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.