Signal Processing & Data Analysis Engineer

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.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.