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Geospatial Software Engineer - Remote

Posted 13 weeks ago
Software Development
Full Time
USA

Overview

Hydrosat is a venture-backed space data analytics company developing a new earth observation constellation and software to unlock the power of thermal infrared imagery. Our mission is to capture and deliver thermal infrared data, currently not available from other sources, to provide insights into crop health, drought and wildfire risk, industrial activity, and situational awareness to government and commercial customers.

In Short

  • Seeking a Geospatial Software Engineer to support operations of Hydrosat’s earth observation constellation.
  • Build scalable, automated data processing pipelines.
  • Optimize image processing pipelines for efficient resource usage.
  • Collaborate with Imaging System Engineers and CalVal experts.
  • Implement new functionality in image processing pipelines.
  • Operationalize image quality metrics for metadata creation.
  • Assess imagery products for accuracy and quality standards.
  • Troubleshoot pipeline and imagery anomalies.
  • Impact agriculture, climate, and public safety monitoring applications.
  • Fascination with thermal imaging, photography, and geography is essential.

Requirements

  • Strong software engineering skills.
  • Experience with data processing and image processing.
  • Knowledge of thermal infrared imagery and satellite data.
  • Ability to collaborate effectively with engineers and experts.
  • Problem-solving skills for troubleshooting anomalies.
  • Attention to detail for quality assurance.

Benefits

  • Opportunity to work in a cutting-edge field.
  • Impactful work in agriculture, climate, and public safety.
  • Collaborative and innovative team environment.
Hydrosat logo

Hydrosat

Hydrosat is a venture-backed space data analytics company focused on developing an innovative earth observation satellite constellation and advanced software solutions to harness the potential of thermal infrared imagery. The company aims to provide valuable scientific data products through collaboration between software engineers and scientists, ensuring that their systems are scalable, secure, and aligned with customer needs.

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