Senior Image Processing Engineer

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).

Relevant companies for the role:

Thales/Thales Alenia Space (optical payloads division), Airbus (optical payloads division), SSTL, Raytheon (optical payloads division), Planet, BlackSky, Satlantis, Sitael, Satellogic (former employees), PhaseOne.

Requirements

Main tasks and responsibilities:

a. Developing and implementation of the advanced algorithms and pipelines for image processing, including image formation, denoising, mosaicing, georeferencing, orthorectification, and image correction.

b. Architecture of the image formation system, starting from raw sensor data, edge pre-processing up to quality enhancement and product standardization.

c. Defining image quality metrics, leading image calibration, working together with the satellite, optical system and sensor engineering colleagues on commissioning, calibration and imaging product exploitation.

d. Build and maintain the infrastructure and tools for high-volume image processing throughout their operational lifecycle.

e. Collaborate cross-functionally on the sensor read-out design, system integration, performance modeling, and product definition.

f. Provide technical expertise in the multidomain engineering and product team working on very high resolution system development.

Required qualifications:

a. Familiarity with the electrooptical payload construction with the focus on the light capture system and sensor data read-out system.

b. Understanding of end-to-end image processing chain, from sensor electronics and image ancillary data to geometric characterization.

c. At least 5 years of experience in hands-on development of the aerial or spaceborne optical imagery processing pipelines and/or computer vision systems.

d. Strong expertise in photogrammetry, data processing and algorithm development.

e. 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.

f. Familiarity with AI-based solutions for image processing and quality enhancement, specifically for the super-resolution processing field.

g. Deep understanding of Remote Sensing and EO data collection and processing techniques. Familiarity with image analysis and geointelligence data handling.

h. Proficiency in Python with the knowledge of GDAL and geospatial Python libraries.

i. 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 qualifications:

a. Familiarity with CMOS-based imaging systems for very high resolution applications.

b. Experience with imagery georeferencing.

c. Familiarity with sensor fusion techniques.