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Tech Stack
Tools & technologiesLinuxPythonRemote Sensing
About the role
Key responsibilities & impact- Drive continuous improvements in the quality of Hydrosat’s Thermal and VNIR data products.
- Assess the radiometric accuracy of Hydrosat’s data products using ground truth data (e.g., RadCalNet), well-calibrated reference sensor data, and radiative transfer tools (e.g., MODTRAN).
- Contribute to the development of Hydrosat’s image processing pipeline with production-grade Python code.
- Contribute to development of pre-launch data collection procedures for the next generation of Hydrosat payloads and sensors.
- Create clear documentation and publications explaining methodologies and data quality for external audiences.
- Troubleshoot data quality issues and implementing software fixes to resolve them
Requirements
What you’ll need- US Citizen or Permanent Resident
- 5+ years of total experience with a combination of software engineering and imaging science for space-based missions
- Advanced knowledge of data processing pipelines and CalVal methods, preferably Thermal and VNIR systems
- An understanding of atmospheric correction methods for remote sensing data and experience with radiative transfer tools e.g. MODTRAN
- Expertise in scrutinizing scientific data to identify calibration anomalies, instrument artifacts, and processing errors
- Experience conducting research projects and turning research into new capabilities & products
- Extensive experience writing production-grade Python code and scientific computing using Python in a Linux environment
Benefits
Comp & perks- Employee options
- Health insurance: Medical, Vision, Dental
- Flexible time off
- Maternity, Paternity & Parental Leave
- 401K Matching
ATS Keywords
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Hard Skills & Tools
Pythondata processing pipelinesCalVal methodsatmospheric correction methodsradiative transfer toolsMODTRANscientific computingLinuximage processingdata quality assessment
Soft Skills
troubleshootingdocumentationcommunicationresearch project managementmethodology explanation