New ideas are all around us, but only a few will change the world. That's our focus at JPL. We 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.
You will be a Summer Intern under JPL's Instrument Software And Science Data Systems Section (398) and the Project Leadership And Management Group (398A). The work will be directly supporting NASA's Planetary Data System (PDS).
The NASA Planetary Data System (PDS) is home to over 1.5 PB of planetary science data products, ranging from images to atmospheric and geosciences data, making it the richest data repositories for planetary science data in the universe. The PDS Engineering Node (EN) provides systems engineering support to the entire PDS, handling global aspects such as standards (data, software, documentation, operating procedures), technology investigations, coordination and development of system-wide software, coordination of data ordering and distribution, catalog development and implementation, and maintenance of the PDS catalogs. The PDS standards lie at the heart of all of it to ensure consistent description of planetary science data so that data providers, programmers, and end-users all know what to expect when creating and working with PDS files.
PDS Internship opportunities are:
AIMS Plug-in Developer:
The PDS EN is in the midst of a research and development task for moving some of our tools and services to the Amazon Web Services Cloud. The software service architecture we are designing in the cloud needs more tools retrofitted and plugged into the service so we can continue to grow the toolkit. The candidate will be responsible for taking new and existing tools, retrofitting the tools to meet the architectures interface requirements, and test and deploy this in AWS Lambda. The candidate will also be expected to think outside-the-box, be creative and self-driven, while functioning within an agile-like team environment.
Java, Git, Unix.
Cloud Services experience, AWS Lambda, Python
PDSEN DevOps Engineer:
The PDS EN is home to dozens of software tools/services and millions of lines of code. We then build and deploy this software every 6-months so these tools available to the science community around the world. The problem is this build and deployment process is largely manual and very time consuming. The candidate for this role loves to organize and streamline their work, and is interested in improving an organization that provides the tools necessary for scientists to make discoveries throughout the universe. The candidate will also be expected to think outside-the-box, be creative and self-driven, while functioning within an agile-like team environment.
Required: Java, Unix, Git, Unit/Regression Testing.
Docker, Any CI/CD experience a huge plus, familiar with Jenkins
PDSEN Data Modeling Engineer:
The PDS4 Information Model (IM) and related standards are the latest in the set of PDS standards developed to bring both the archiving process and use of the archived data into the modern era. The standard is built using XML, XML Schema, and XML Schematron, on top of a complex structure of object relationships captured in an ontology modeling tool. The candidate will be expected to become the apprentice to our Information Architect learning the ins-and-outs of the PDS4 Information Model, the generated artifacts, and associated standards and how they impact the PDS4 Information System. More broadly, the candidate must be have a skillset for and interest in complex ontologies, database design, and software development.
Required: Java, Database Design coursework, Git, XML.
XSD, SCH, interest/coursework in ontologies, linguistics, and/or library sciences
https://pds.nasa.gov, https://pds.nasa.gov/datastandards/about/, https://pds.nasa.gov/datastandards/documents/concepts/Concepts_1.11.0.pdf
Must be enrolled at least half-time at an accredited college or university pursuing a Master's or PhD degree majoring in Computer Science or Human-Computer Interaction.
Must be able to work a minimum of 40 hours per week during summer, for a duration of 8-12 weeks.
Minimum 3.0 out of 4.0 cumulative GPA.
Has familiarity in one or more of the following areas (as applicable depending on internship role): Java, Database Design, Unix, Git, XML, Unit/Regression Testing
Cloud Services experience
AWS Lambda, Python, Docker, Any CI/CD experience a huge plus
Familiar with Jenkins, XSD, SCH
Interest/coursework in ontologies, linguistics, and/or library sciences