Ontology and Semantic Engineering Intern, Summer 2027

General Dynamics Mission Systems, Inc•Scottsdale, AZ

4h•Hybrid

About The Position

General Dynamics Mission Systems (GDMS) is hiring an Ontology and Semantic Engineering Intern for Summer 2027. The intern will apply classroom-learned skills to technical projects supporting national defense services and work collaboratively with teams and subject matter experts. The position focuses on profiling source-system data, defining business objects and rules, developing ontology mappings for an active AIRE use case, and representing semantic models in machine-readable forms for knowledge graphs, application integration, and agent use. The intern will also create reusable templates and validation criteria for future business domains. GDMS describes the position as offering a competitive wage and a flexible work environment where contributions are recognized and rewarded. U.S. citizenship is required; a Department of Defense Secret security clearance is preferred at hire, and selected applicants must meet eligibility requirements for access to classified information.

Requirements

Be pursuing a degree in Systems Engineering, Computer Science, Information Systems, Data Science, or a related field.
Have coursework or project experience in data modeling, database design, systems architecture (MBSE/SysML/UML), or structured information management.
Be familiar with reading and manipulating structured data formats such as SQL tables, CSVs, JSON, or YAML.
Have strong analytical and communication skills, including the ability to interview stakeholders and synthesize findings into clear technical documentation.
U.S. citizenship is required.
Applicants selected must undergo a U.S. Government security investigation and meet eligibility requirements for access to classified information.

Nice To Haves

A Department of Defense Secret security clearance at the time of hire is preferred.
Experience with data profiling, data quality, metadata, lineage, ontologies, knowledge graphs, semantic models, Python, SQL, APIs, or AI applications and agents.
Familiarity with business analysis, data architecture, governance, provenance, or validation criteria.

Responsibilities

Profile source-system data and document its structure, quality, ownership, and authoritative source.
Work with functional subject matter experts to define business objects, properties, relationships, business rules, and approved actions.
Develop ontology mappings for an active AIRE use case and connect semantic definitions to metadata, lineage, provenance, and data-quality requirements.
Help represent the resulting model in a machine-readable form suitable for knowledge graphs, application integration, and agent use.
Produce reusable templates and validation criteria for future business domains.