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Capella Space · 4 weeks ago

Signal Processing Engineering Intern

San Francisco, CA

Internship

Onsite

Intern

$39/hr - $39/hr

Start in 2026 Summer

Capella, an IonQ company, builds trusted space systems that deliver secure Earth intelligence. The Signal Processing Intern will contribute to projects involving radar and remote sensing technologies, focusing on radar data processing systems and collaborating with experienced engineers and scientists.

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 learningData analysisCommunication 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