Oferta wygasa za:89 dni
Tryb pracyZdalna
Rodzaj umowyUmowa o pracę
Tryb rekrutacjiRekrutacja stacjonarna
Wymiar etatuPełny etat
Your responsibilities
- Design, develop, and maintain software applications for diverse domains, including space-related projects (e.g., Payload Processors).
- Design, develop and maintain Python-based satellite image processing end-to-end pipelines for multispectral, hyperspectral, SAR, and other Earth observation data.
- Write clean, efficient, and well-documented code using Python and other relevant technologies.
- Collaborate with cross-functional teams to define requirements, propose solutions, and ensure successful project delivery.
- Provide technical support to other teams, sharing knowledge of remote sensing (image processing chain), geospatial technologies, payload calibration and validation.
- Work closely with engineering and product teams to shape sensor architectures, evaluate system-, payload-, spacecraft-, processing-level performance, and translate technical capabilities into product requirements.
- Participate in research and development initiatives related to space technologies, staying abreast of modern advancements.
- Investigate new satellite sensors, processing techniques, and open-source geospatial technologies and incorporate relevant approaches into the processing stack.
Our requirements
- 2+ years of relevant professional experience in Remote Sensing, Geomatics, Optics, Physics, or a related field.
- Bachelor’s degree in a relevant field (e.g., Remote Sensing, Geomatics, Optics, Physics). Equivalent relevant professional experience may be considered in lieu of a degree.
- Self-driven and able to work independently in a fully remote, distributed team environment.
- Recent hands-on experience with satellite, drone, and/or aerial image-processing pipelines.
- Recent experience working with multispectral, hyperspectral and/or TIR data.
- Solid understanding of end-to-end (from RAW to L2A) image-processing workflows for remote sensing.
- Good understanding of remote sensing concepts, including: multispectral imagery and spectral bands, spatial, spectral, temporal, and radiometric resolution, radiance and reflectance, image calibration and validation (image-quality metrics), georeferencing and orthorectification
- Proficiency in Python for scripting, data processing, automation, and testing.
- Understanding of software engineering fundamentals, including documentation, version control, collaborative code development, and basic software design principles and patterns.
- Interest in and willingness to work with modern technologies, particularly solutions and technologies targeting the space segment.
- Good knowledge of Linux operating systems and command-line tools.
- Proficiency in remote sensing modeling and analysis.
- Strong analytical, troubleshooting, and problem-solving skills.
- Master’s degree or Ph.D. in a relevant field.
- Understanding of optical payload architectures (e.g., pushframe and pushbroom) and radar payload operation.
- Experience with image chain processing development, such as Calibration and Validation (CalVal) activities like georeferencing refinement, stacking or orthorectification.
- Knowledge and/or experience in space sector projects related with satellite data processing performed for example for ESA. Knowledge of PDGS terminology and standards e.g. image quality.
- Knowledge of another programming language e.g. C, C++, R.
Benefity
Kawa i herbata
Ubezpieczenie na życie
Parking dla pracowników
Możliwość pracy zdalnej
Elastyczny czas pracy
Karta sportowa
Paczki świąteczne
Prywatna opieka medyczna
Dofinansowanie szkoleń i kursów
Dofinansowanie wypoczynku
Program poleceń pracowników
Brak dress code'u
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