AI Engineer, Ontologies & Knowledge Graphs

Cadence Design Systems is seeking an AI Engineer to build knowledge graphs and retrieval-ready data pipelines that help make product capabilities programmatically understandable.

Responsibilities

• Develop ETL/ELT pipelines to extract data from source code, APIs, file formats, and documentation and load it into a structured knowledge store
• Design and maintain schemas and semantic data models for entities, relationships, and capabilities
• Build and maintain knowledge graphs across heterogeneous product data
• Create and maintain source and metadata parsers, including source-code/AST parsing for automated structure extraction
• Implement typed programmatic interfaces and data-access layers on top of the knowledge layer
• Deliver retrieval and indexing layers over product knowledge using embeddings and RAG
• Partner with domain engineers to break complex product workflows into discrete, callable operations
• Evaluate data sources for coverage, quality, and schema completeness across multiple products

Requirements

• BS/MS in Computer Science, Mechanical Engineering, or similar
• Strong Python and experience building and consuming REST APIs
• Experience building data pipelines (ETL/ELT) across structured and unstructured data
• Familiarity with graph databases and/or semantic/ontology modeling (RDF, OWL, property graphs, or equivalent)
• Experience with at least one agent framework: LangChain, LangGraph, AutoGen, CrewAI, or similar
• Understanding of how LLMs use context and call tools (retrieval, RAG, embeddings)
• Exposure to CAE/FEA/CFD or a related physical-simulation or engineering domain
• Comfortable working within unfamiliar or undocumented codebases
• Systems thinking skills to decompose legacy workflows into discrete, callable steps

Technologies

• Python, REST APIs, ETL/ELT
• Graph databases; RDF, OWL, property graphs
• LangChain, LangGraph, AutoGen, CrewAI
• LLMs, retrieval, RAG, embeddings
• CAE/FEA/CFD
• AST parsing

Nice to Have

• Vector databases
• Data-access and API interface development
• Parsing structured file formats
• Surrogate modeling or related numerical methods

Additional Information

• Role spans multiple products, building structured knowledge and interfaces over their capabilities
• Works closely with domain engineers, who provide subject-matter expertise
• Travel is not an expectation; occasional infrequent travel may occur for broad team alignment workshops

Location: Livonia, MI (onsite)