Job Summary
This role focuses on designing developing and maintaining scientific software that converts raw spacecraft data into high-precision data products used by astronomers worldwide. The position supports multiple space science missions and contributes to calibration pipelines data processing automation and data quality monitoring in a fast-paced multi-mission environment.
The engineer will collaborate closely with scientists and developers to deliver reliable accurate and scalable software solutions. This role involves both internal development and external-facing support requiring strong technical skills problem-solving ability and effective communication with diverse user communities.
Key Responsibilities
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Develop and maintain software for processing and calibrating astronomical data
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Build and enhance calibration software for space-based scientific instruments
-
Contribute to automation of data processing pipelines and data quality monitoring systems
-
Support development of scientific data formats and open-source astronomy libraries
-
Collaborate with astronomers to deliver solutions for complex scientific problems
-
Identify issues implement fixes and provide technical guidance to development teams and end users
Required Qualifications
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Strong expertise in Python software development
-
Experience developing software in C
-
Experience using open-source scientific libraries such as NumPy SciPy and Astropy
-
Proficiency with Git and collaborative version-control workflows
-
Familiarity with software testing tools and practices
-
Strong analytical problem-solving planning and organizational skills
-
Excellent written and verbal communication skills
Preferred Qualifications
-
Familiarity with data formats such as YAML JSON HDF5 or similar
-
Experience working with astronomical data formats
-
Educational background in engineering computer science mathematics physics astronomy or a closely related discipline
Job Summary This role focuses on designing developing and maintaining scientific software that converts raw spacecraft data into high-precision data products used by astronomers worldwide. The position supports multiple space science missions and contributes to calibration pipelines data processing ...
Job Summary
This role focuses on designing developing and maintaining scientific software that converts raw spacecraft data into high-precision data products used by astronomers worldwide. The position supports multiple space science missions and contributes to calibration pipelines data processing automation and data quality monitoring in a fast-paced multi-mission environment.
The engineer will collaborate closely with scientists and developers to deliver reliable accurate and scalable software solutions. This role involves both internal development and external-facing support requiring strong technical skills problem-solving ability and effective communication with diverse user communities.
Key Responsibilities
-
Develop and maintain software for processing and calibrating astronomical data
-
Build and enhance calibration software for space-based scientific instruments
-
Contribute to automation of data processing pipelines and data quality monitoring systems
-
Support development of scientific data formats and open-source astronomy libraries
-
Collaborate with astronomers to deliver solutions for complex scientific problems
-
Identify issues implement fixes and provide technical guidance to development teams and end users
Required Qualifications
-
Strong expertise in Python software development
-
Experience developing software in C
-
Experience using open-source scientific libraries such as NumPy SciPy and Astropy
-
Proficiency with Git and collaborative version-control workflows
-
Familiarity with software testing tools and practices
-
Strong analytical problem-solving planning and organizational skills
-
Excellent written and verbal communication skills
Preferred Qualifications
-
Familiarity with data formats such as YAML JSON HDF5 or similar
-
Experience working with astronomical data formats
-
Educational background in engineering computer science mathematics physics astronomy or a closely related discipline
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