Winter 2027 Library Science Co-op

Anduril•Santa Ana, CA
•Onsite

About The Position

Anduril's Maritime Division is building digital systems for its maritime manufacturing operations. The Maritime Digital Production team develops data pipelines, contextualization layers, workflow and execution tools, applied intelligence, and interfaces between operational technology and information technology. This co-op focuses on cataloging and structuring factory data by creating vocabularies, hierarchies, metadata standards, and documentation that make industrial data meaningful and usable. The co-op is based in person at one of Anduril's offices and runs for 16 to 24 weeks in winter 2027. The student must return to school afterward to continue academic studies for at least one quarter or semester. The role requires U.S. Person status because of access to U.S. export-controlled information or facilities; U.S. clearance eligibility may also be required depending on the program.

Requirements

  • Must be pursuing a bachelor's or master's degree in Library Science, Information Science, Knowledge Management, Archival Studies, Linguistics, or a related field.
  • Must return to school after the internship to continue academic studies for at least one quarter or semester.
  • Must be a U.S. Person due to required access to U.S. export-controlled information or facilities; U.S. clearance eligibility may be required depending on the program.
  • Must be able to complete a 16 to 24-week in-person co-op in one of the company's offices in winter 2027.

Nice To Haves

  • Coursework or project experience in metadata, cataloging, taxonomy, controlled vocabularies, or classification systems.
  • Attention to detail and patience working through ambiguity toward a consistent structure.
  • Clear writing, particularly for documentation meant to outlast its author.
  • Familiarity with metadata standards and modeling approaches such as Dublin Core, SKOS, RDF, OWL, or similar.
  • Exposure to data catalog tooling, knowledge graphs, or ontology editors such as Protégé.
  • Basic scripting skills in Python or SQL for inspecting and transforming data.
  • Interest in manufacturing and the physical systems behind the data.
  • Coursework in digital curation, data governance, or information architecture.

Responsibilities

  • Develop and maintain controlled vocabularies for equipment, materials, processes, and locations across the build chain.
  • Build asset hierarchies and naming conventions to structure plant-floor data into a consistent model.
  • Write and apply metadata schemas for industrial data sources, documenting the meaning and use of each field.
  • Catalog data sources and maintain entries in the team's data catalog, including provenance and ownership.
  • Audit existing tags and data models for inconsistencies and gaps, and propose corrections.
  • Document standards and authoring guidelines to keep naming decisions consistent.
  • Work with data and manufacturing engineers to verify that models reflect how work happens on the factory floor.
  • Present completed work to the team at the end of the session.

Benefits

  • The posting states that Anduril offers top-tier benefits for full-time employees, including a comprehensive, competitive benefits package available at little to no cost to employees.
  • Highly competitive equity grants are included in the majority of full-time offers.
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