Senior Signal Processing & Data Analytics Engineer

Lockheed Martin; City of Niagara Falls (NY); On-site; USD 105,000 - 195,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Flexible work arrangements

401(k) match

Paid time off

Job summary

Lockheed Martin in the United States is seeking a seasoned signal processing expert to transform noisy data into robust, production-ready workflows. You will develop and optimize algorithms for time- and frequency-domain analysis, and collaborate with engineering teams to integrate them into deployed systems.

The role emphasizes strong DSP foundations, experience with Python, MATLAB, and C++, and the ability to communicate complex results to technical stakeholders while supporting experimental

Qualifications

• BS/MS/PhD in Electrical Engineering, Applied Physics, Computer Engineering, Data Science, or Mathematics
• 5+ years of experience in signal processing, data analysis, or sensing systems
• Strong DSP knowledge: FFT, filtering, spectral/time-series analysis, statistics

Responsibilities

• Develop and optimize signal processing algorithms for time- and frequency-domain analysis
• Design filtering, denoising, feature extraction, and detection pipelines
• Process large datasets from laboratory and field measurements
• Perform statistical analysis, uncertainty quantification, and anomaly detection
• Develop automated analysis tools and visualization dashboards
• Build calibration and validation workflows for sensors
• Implement algorithms in Python, MATLAB, or C++
• Work with engineering teams to integrate algorithms into deployed systems
• Document analysis methods and communicate results to technical stakeholders
• Support experimental design and test planning

Skills

Python

MATLAB

C/C++

Git

NumPy/SciPy/Pandas

Education

BS/MS/PhD in Electrical Engineering, Applied Physics, Computer Engineering, Data Science, or Mathematics

Tools

NumPy/SciPy/Pandas

MATLAB

C/C++

Job description

Lockheed Martin in the United States is seeking a seasoned signal processing expert to transform noisy data into robust, production-ready workflows. You will develop and optimize algorithms for time- and frequency-domain analysis, and collaborate with engineering teams to integrate them into deployed systems.

The role emphasizes strong DSP foundations, experience with Python, MATLAB, and C++, and the ability to communicate complex results to technical stakeholders while supporting experimental