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Lockheed Martin Linkedin · Posted 3d ago

Signal Processing & Data Analysis Engineer

Niagara Falls, New York, United States

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Indexed description

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

Job Description

WHAT WE'RE DOING

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 WORK

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 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

Who We Are

Our customers are world-wide and so is our reputation for creating original solutions with the latest technologies. Our products keep our customers safe and bring them home to their families at night.

We provide the resources, inspiration, and focus - if you have the resourcefulness and perseverance to work hard, then we want to create a better tomorrow with you.

Who You Are

You thrive in a collaborative, multidisciplinary engineering environment and are committed to delivering best-in-class products and solutions.

WHY JOIN US

We believe that owning your career and having the freedom to make critical business decisions is key to making a real impact.

With the autonomy to use your skills and expertise in innovative ways, you can take on exciting challenges and help solve some of the world's most pressing problems.

Desired Skills

Machine learning for signal interpretation

Sensor fusion

Bayesian estimation methods

System identification

Real-time processing

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

Familiarity with cloud or distributed computing

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

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