Image Processing Intern

Galaxeye Space Solutions Pvt Ltd; Bengaluru; On-site; INR 134,000 - 279,000; Full time

Job summary

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED is seeking a motivated Image Processing Intern to join our data processing and algorithm development team in Bengaluru. You will help develop pipelines that convert raw satellite optical data (L0) into L1C and L2A products, learning how imaging systems work and applying this to processing, noise reduction, and sensor simulation.

You will collaborate with cross-functional teams, contribute to calibration, correction, reconstruction, and product generation,

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Science, Electrical or Electronics Engineering, Aerospace Engineering, Remote Sensing, Physics, or related field.
• Strong foundations in image processing, computer vision, signal processing, and mathematics.
• Proficiency in Python and C++, with familiarity with NumPy, SciPy, OpenCV, Rasterio, or GDAL.
• Basic understanding of optical imaging, sensors, radiometry, sampling, noise, and calibration.
• Familiarity with satellite data products, coordinate systems, geometric transformations, geolocation, or atmospheric correction.
• Exposure to sensor simulation, scientific programming, or geospatial datasets is desirable.
• Coursework or experience in remote sensing, optimisation, TensorFlow, or PyTorch is a plus.
• Contribute to real satellite Earth Observation processing systems.

Responsibilities

• Help develop and test algorithms that convert raw satellite optical data (L0) into calibrated L1C and L2A products.
• Work on radiometric and geometric correction, geolocation, orthorectification, atmospheric correction.
• Write modular, testable, and efficient code for operational pipelines.
• Learn how satellite optical imaging systems form images, including optics, detectors, electronics, viewing geometry, and platform motion.
• Support calibration, correction, reconstruction, and product-generation algorithms.
• Study and model sensor noise, detector variations, defective pixels, quantisation effects, and imaging artefacts.
• Build simple physics-based simulators for image formation, sensor response, sampling, geometry, and noise.
• Collaborate with Software, Remote Sensing, Payload, and Systems teams to integrate algorithms.
• Document code, methods, assumptions, experiments, and results.

Skills

Image processing

Computer vision

Signal processing

Mathematics

Python

C++

Remote sensing

TensorFlow/PyTorch

Education

Pursuing Bachelor's or Master's in CS/Engineering/RELATED

Tools

NumPy

SciPy

OpenCV

Rasterio/GDAL

Job description

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED | Temporary

We are looking for a motivated Image Processing Intern to join our data processing and algorithm development team. The role involves helping develop pipelines that convert raw satellite optical data (L0) into L1C and L2A products. The intern will learn how satellite optical imaging systems work and apply this knowledge to processing, noise reduction, and sensor simulation.

Key Responsibilities

1. 1. Optical Processing PipelineDevelopment:
   • Help develop and testalgorithms that convert raw satellite optical data (L0) into calibrated andgeoreferenced L1C and L2A products.
   • Work on key processing stepssuch as radiometric and geometric correction, geolocation, orthorectification,and atmospheric correction.
   • Write modular, testable, andefficient code for operational pipelines.
2. 2. Satellite Optical ImagingSystems:
   • Learn how satellite opticalimaging systems form images, including the role of optics, detectors,electronics, viewing geometry, and platform motion.
   • Use this understanding tosupport calibration, correction, reconstruction, and product-generationalgorithms.
3. 3. Noise Modelling andMitigation:
   • Study and model common sensornoise, detector variations, defective pixels, quantisation effects, and imagingartefacts.
   • Develop and test methods toreduce these effects while preserving image quality.
4. 4. Sensor and ImagingSimulation:
   • Build simple, physics-basedsimulators for image formation, sensor response, sampling, geometry, and noise.
   • Use simulated and real data totest algorithms and study the effect of sensor parameters.
5. 5. Validation, Collaboration,and Documentation:
   • Define and use basic metrics toevaluate radiometric quality, geometric accuracy, noise, and productconsistency.
   • Collaborate with the Software,Remote Sensing, Payload, and Systems teams to integrate algorithms.
   • Clearly document code, methods,assumptions, experiments, and results.

Requirements

• Pursuing a Bachelor's or Master's degree in Computer Science, Electrical or Electronics Engineering, Aerospace Engineering, Remote Sensing, Physics, or a related field.
• Good foundations in image processing, computer vision, signal processing, and mathematics.
• Proficiency in Python and C++, with familiarity with libraries such as NumPy, SciPy, OpenCV, Rasterio, or GDAL.
• Basic understanding of optical imaging, sensors, radiometry, sampling, noise, and calibration.
• Familiarity with satellite data products, coordinate systems, geometric transformations, geolocation, or atmospheric correction.
• Exposure to sensor simulation, scientific programming, or geospatial datasets is desirable.
• Coursework or experience in remote sensing, optimisation, TensorFlow, or PyTorch is a plus.
• Contribute to real satellite Earth Observation processing systems.
• Learn from remote-sensing scientists, payload engineers, and software developers.
• Gain hands-on experience with optical data, calibration, L0-to-L1C/L2A processing, sensor modelling, and data fusion.
• Work in a dynamic and innovative space-technology startup.