Senior Image Processing Engineer Job at ICEYE (Warsaw)

Senior Image Processing Engineer

ICEYE

Location:
Poland , Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are looking for a seasoned Image Processing Engineer experienced in development of the optical and multispectral image processing algorithms and pipelines especially for the GEOINT and ISR applications. Ideally a person who has been involved in designing and building imaging data processing and exploitation systems from the ground up: architecture, design, testing and productization of the pipelines turning raw sensor data into imagery products. The Image Processing Engineer's role primarily involves creating and maintaining advanced processing techniques for satellite imagery, with a strong focus on: atmospheric correction, image-to-image registration, photogrammetric analysis, feature extraction, and improving image quality (super-resolution algorithms).

Job Responsibility:

Develop and implement advanced algorithms and pipelines for image processing, including image formation, denoising, mosaicing, georeferencing, orthorectification and image correction
Architecture the image formation system, starting from raw sensor data, edge pre-processing up to quality enhancement and product standardization
Define image quality metrics, lead image calibration, work together with the satellite, optical system and sensor engineering colleagues on commissioning, calibration and imaging product exploitation
Build and maintain the infrastructure and tools for high-volume image processing throughout their operational lifecycle
Collaborate cross-functionally on the sensor read-out design, system integration, performance modeling, and product definition
Provide technical expertise in the multidomain engineering and product team working on very high resolution system development

Requirements:

Familiarity with the electro-optical payload construction with the focus on the light capture mechanisms and sensor data read-out system
Understanding of end-to-end image processing chain, from sensor electronics and image ancillary data to geometric characterization
At least 5 years of experience in hands-on development of the aerial or spaceborne optical imagery processing pipelines and/or computer vision systems
Strong expertise in photogrammetry, data processing and algorithm development
Experience in prototyping software solutions for edge imaging data processing working hand-in-hand with the hardware and embedded systems teams on coupling light capture system and fundamental image signal processing with the image formation back-end
Familiarity with AI-based solutions for image processing and quality enhancement, specifically for the super-resolution processing field
Deep understanding of Remote Sensing and EO data collection and processing techniques. Familiarity with image analysis and geointelligence data handling
Proficiency in Python with the knowledge of GDAL and geospatial Python libraries
Proactive attitude, willingness to work with the team, share knowledge and actively participate in creating solutions for imaging instruments from the ground up

Nice to have:

Familiarity with CMOS-based imaging systems for very high resolution applications
Experience with imagery georeferencing
Familiarity with sensor fusion techniques
Previous experience in the satellite and/or defense industry is a plus

What we offer:

A yearly benefit budget to spend as you wish (MyBenefit i.e. on sport, transport, wellness, lunch, tourism, etc.)
Relocation support (i.e. flight tickets, accommodation, relocation agency support etc.)
Time for self-development, research, training, conferences, or certification schemes
Polish language lessons
Occupational and private healthcare and life insurance
Inspiring and collaborating offices and silent workspaces enable you to focus
A wide variety of the best coffee, tea, snacks, and sweets to accompany your daily space mission

Additional Information:

Job Posted:
January 13, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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