Teams at Cadence Design Systems

Lead development of next-generation simulation and process data management software for CAE applications. Responsibilities include designing backend and full-stack architectures, implementing Java and web functionality, developing automated tests, integrating systems, using software engineering tools, and providing technical input on feasibility, estimation, automation, and project implementation.

Builds ontologies, knowledge graphs, and structured tool interfaces that make Cadence simulation products accessible to AI agents. Responsibilities include modeling product capabilities, connecting APIs and data layers, implementing retrieval and context systems, translating simulation workflows into callable operations, and reviewing ontologies for agent readiness across multiple products.

Develops ontology schemas, knowledge graphs, structured tool interfaces, connectors, and retrieval layers that make simulation products accessible to AI agents. The role translates product APIs, documentation, data structures, and workflows into callable operations, collaborating with domain engineers across multiple products. Responsibilities include agentic AI integration, semantic modeling, API development, and reviewing product ontologies for agent readiness.