Knowledge Graph Engineer: Ontologies & AI Pipelines

Cadence Design Systems; Livonia (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Cadence Design Systems in Livonia, MI seeks an engineer to build the data and interface layer that makes complex software surfaces programmatically understandable. You will design schemas, construct knowledge graphs, and expose them through typed programmatic interfaces for downstream consumption.

You will develop ETL/ELT pipelines, parsers, and data-access layers, collaborating with domain engineers to enable retrieval and indexing of product knowledge.

Qualifications

• BS/MS in Computer Science, Mechanical Engineering, or similar.
• Strong Python; experience building and consuming REST APIs.
• Experience building data pipelines (ETL/ELT) over 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 consume 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 thinker — able to decompose a complex legacy workflow into discrete, callable steps.

Responsibilities

• Build ETL/ELT pipelines that 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 capturing entities, relationships, and capabilities.
• Construct and maintain knowledge graphs over heterogeneous product data.
• Develop source and metadata parsers (including source-code/AST parsing) to extract structure automatically.
• Build typed programmatic interfaces and data-access layers over the knowledge layer.
• Implement retrieval and indexing layers (e.g., embeddings, RAG) over product knowledge.
• Work with domain engineers to decompose complex product workflows into discrete, callable operations.
• Assess data sources for coverage, quality, and schema completeness across multiple products.

Skills

Python

REST APIs

ETL/ELT pipelines

Graph databases

Semantic modeling

LangChain

LangGraph

AutoGen

CrewAI

LLM context

Education

BS/MS in CS or Engineering

Tools

RDF

OWL

Property graphs

LangChain

LangGraph

AutoGen

CrewAI

Job description

Cadence Design Systems in Livonia, MI seeks an engineer to build the data and interface layer that makes complex software surfaces programmatically understandable. You will design schemas, construct knowledge graphs, and expose them through typed programmatic interfaces for downstream consumption.

You will develop ETL/ELT pipelines, parsers, and data-access layers, collaborating with domain engineers to enable retrieval and indexing of product knowledge.