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Scientific Software Engineering

Job in Pasadena, Harris County, Texas, 91122, USA
Listing for: NASA Jet Propulsion Laboratory
Full Time position
Listed on 2026-10-16
Job specializations:
  • Software Development
    Data Engineering, Software Engineer, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 94000 - 116000 USD Yearly USD 94000.00 116000.00 YEAR
Job Description & How to Apply Below
Position: Scientific Applications Software Engineering I
Job Details

New ideas are all around us, but only a few will change the world. That’s our focus  ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.

Job

Details

New ideas are all around us, but only a few will change the world. That’s our focus  ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.

Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

Responsibilities

Do you excel in an environment that values exploration and discovery? We have a universe of opportunities waiting for you!

Jet Propulsion Laboratory (JPL) is NASA’s lead center for robotic exploration of the solar system. Our core competency is the end-to-end implementation of unprecedented robotic space missions to study Earth, the Solar System, and the Universe. We are proud to be part of NASA and Caltech, as we explore the universe and make history through new discoveries. JPL, located in Pasadena, California, has a casual, campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

We operate a cloud-based Science Data System (SDS) section that ingests satellite telemetry and systematically processes it into calibrated, geolocated, and quality-controlled higher-level science data products. The SDS leverages elastic cloud computing, automated workflows, and robust monitoring to ensure scalable, repeatable, and timely product generation. This architecture enables reliable end-to-end data delivery from mission operations to the global science and applications communities.

This Section is actively involved in concept formulations of autonomous on-board SDS for NASA and commercial applications.

JPL is seeking a Cloud Systems Software Engineer I to contribute to exciting new opportunities developing data systems supporting flight missions. Flight missions develop and operate data-intensive science data systems that produce large amounts of data that need to be processed, stored, organized, searched, and analyzed. This requires developing and architecting systems that successfully utilize latest technologies (including cloud) to meet data processing and data storage requirements.

As a member of the Interactive Tools and Pipeline Automation Group you will provide software engineering support to NASA missions, projects, and tasks and report to the Group Supervisor.

Tasks include but are not limited to
  • Working directly with Cog-Es and development leads to design/develop new capabilities, fix bugs, and document systems.
  • Developing data processing workflows and software related to data products.
  • Designing, developing, integrating, and testing software capabilities in compliance with interface and requirements documents.
  • Developing software on the cloud using open-source tools – e.g., Elasticsearch, Conda,…
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