Apply on Employer Site

Capella Space · 3 weeks ago

Signal Processing Engineering Intern

Louisville, CO

Internship

Onsite

Intern

$39/hr - $39/hr

Start in 2026 Summer

Capella, an IonQ company, builds trusted space systems that deliver secure, rapid, and actionable Earth intelligence. They are seeking a Signal Processing Intern to work on cutting-edge radar and remote sensing technologies, contributing to real-world research and development projects that enhance the performance of their radar data processing systems.

AerospaceGeospatialImage RecognitionInformation Services

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Automatic target detection — supporting development of signal or image-based algorithms for identifying features or anomalies in radar imagery or RF data

Polarimetric analysis — exploring advanced methods to extract physical information from fully polarimetric SAR data

Supporting the development of tools, simulations, and visualizations to evaluate and validate new algorithms

Radar Calibration – supporting methods for ensuring scientific accuracy of data products

Qualification

Signal processingRemote sensingSAR conceptsPythonMATLABMachine learningCommunication skillsIndependent work

Required

Currently attending a degree program and available to work full time for 10 weeks outside of the university academic term

In their penultimate academic year or returning to a degree program after completion of the internship

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Capella Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable

Preferred

Currently pursuing an M.S. or Ph.D., or a senior-year B.S. student in Electrical Engineering, Applied Physics, Computer Science, or a related field with a focus on signal or image processing or machine learning

Strong foundation in signal processing, remote sensing, or SAR concepts

Proficiency in one or more of the following: Python, MATLAB, NumPy/SciPy, PyTorch, or TensorFlow

Experience or coursework in SAR, RFI analysis, target detection, or polarimetry is a plus

Demonstrated ability to work independently, analyze complex datasets, and communicate results effectively

Passion for applying advanced signal processing to meaningful, real-world space applications