Principal Image Processing Engineer
Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.
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, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India.
As an analytics-first payload innovator, we focus on building next-gen payloads tailored for industry-specific applications.
Our high-resolution, optical, multispectral payloads, equipped with edge computing and wide coverage capabilities, maximize the value generated from every pixel of satellite imagery.
Rooted in SatSure’s legacy of delivering last-mile applications across sectors like Utilities, Aviation, Agriculture, BFSI and Climate Action, KaleidEO offers modular solutions for the entire EO value chain spanning payload development, launch, mission operations, and data analytics
At KaleidEO, we are committed to shaping the future of Earth Observation and putting Indian space tech on a global map, and we invite you to be part of this exciting journey.
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.
Interview Process
- Introductory call
- Assignment
- Assignment presentation
- Panel Interview rounds ( 2 rounds)
- Culture Round / HR round
No of positions: 1
- Expected Month of Joining: February / March 2026
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.
