Seeking a skilled Principal Image Processing Engineer to spearhead the development of a high-performance image processing pipeline for optical sensors, utilizing advanced algorithms and leading a team of junior and mid-level engineers for precise, real-time analysis.
About KaleidEO
KaleidEO is investing to launch its fleet of earth observation satellites. SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.
The synergy of KaleidEO and SatSure aims to bring a new dimension to the earth observation industry by being the only full-stack company from India, to have satellites in space to deliver insights on the ground.
Role Overview
As a Principal Image Processing Engineer at KaleidEO, you will architect and lead development of radiometric and geometric correction pipelines for our optical Earth observation payloads, working from raw sensor data to science-ready products. You will lead a team of image processing engineers and collaborate directly with optics, calibration, detector, and satellite systems teams to design, validate, and deploy production-grade processing chains.
You will work with data from space alongside former ISRO scientists and collaborate with the international satellite image processing community, contributing to standards development and best practices. This is a hands-on technical leadership role requiring expertise in sensor physics, radiometry, and operational pipeline development.
Roles and Responsibilities
- Pipeline Architecture & Development: Lead the Design and implement physics-based processing pipelines from raw DN to orthorectified, atmospherically corrected imagery that can be scaled.
- Algorithm Design: Develop and optimize algorithms for radiometric calibration (dark current, flat-field, non-uniformity correction, noise reduction), geometric correction (orthorectification, sensor alignment, mosaicking), and atmospheric compensation.
- Team Leadership: Provide technical leadership and mentorship to a team of engineers and researchers, guiding them through the design and development of components within the processing pipeline.
- Cross-functional Collaboration: Collaborate with optics, detector, and electronics teams during payload development, calibration campaigns, and in-orbit commissioning.
- Quality Control: Define image quality metrics (SNR, MTF, uniformity) and implement automated QA workflows.
- Research & Innovation: Stay up-to-date on the latest advances in optical remote sensing, image processing technologies, and incorporate innovations into pipeline development.
- Documentation & Reporting: Maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.
Qualifications:
- Advanced degree (Master’s or Ph.D.) in Electrical Engineering, Computer Science, Computer Vision, or a related field.
- 8+ years of experience in processing raw or minimally processed data from camera hardware on satellite/aerial/ or any imaging device - camera ISP development, focusing on optical sensor data.
Must-Have:
- Experience designing and optimizing image processing pipelines for optical imagery, particularly optical sensors (e.g., multispectral).
- Strong fundamentals in sensor physics, optics, and signal processing (Fourier analysis, linear systems theory)
- Proficiency in signal processing, image processing and computer vision algorithms (e.g., image correction, enhancement, feature extraction).
- Expertise in programming skills like Python, C++, or MATLAB, with experience using image processing libraries (e.g., OpenCV, GDAL, scikit-image).
- Experience with cloud-based processing platforms (e.g., AWS, Google Cloud, Microsoft Azure) and distributed computing for large-scale data.
- Experience in leading engineering teams and managing complex technical projects.
Good to Have:
- Expertise in atmospheric correction models and radiometric calibration techniques.
- Exposure to sensor commissioning, calibration campaigns, or field validation activities
- Experience working with hyperspectral data and advanced spectral analysis techniques.
- Familiarity with international satellite data sources (e.g., MODIS, Pleiades, SPOT) and commercial data providers and the processing challenges associated with their data.
- Familiarity with geospatial data formats and tools (e.g., GeoTIFF, HDF, QGIS, ArcGIS).
- Contributions to open-source remote sensing or image processing projects.
- Knowledge of high-performance computing (HPC) environments or GPU-accelerated computing for image processing tasks.
Benefits
- Medical Health Cover for you and your family including unlimited online doctor consultations.
- We believe family comes first. That’s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
- We ensure every member of the team gets an opportunity to participate at international events and conferences.
- Access to mental health experts for you and your family.
- Dedicated allowances for learning and skill development.
Interview Process:
- Introductory call
- Assignment
- Assignment presentation
- Panel Interview rounds ( 3 rounds)
- Culture Round / HR round
No of positions: 1
Expected Month of Joining: February / March 2026