Jobs at Cadence Design Systems

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.

Designs, automates, administers, and maintains cloud and on-premises infrastructure. Builds Infrastructure as Code solutions, supports CI/CD pipelines, manages Windows and Linux systems, configures networking and virtualization platforms, and administers Chef, Puppet, and Ansible. Troubleshoots infrastructure, deployment, operating system, networking, and cloud issues while collaborating with globally distributed engineering, QA, IT, and infrastructure teams.

Designs and supports enterprise CI/CD platforms, cloud and hybrid infrastructure, containerized environments, automation frameworks, and DevSecOps practices. Responsibilities include managing Azure and other cloud environments, Docker and Kubernetes deployments, vulnerability remediation, observability, troubleshooting, cloud migration, modernization, and software packaging. The role collaborates with global engineering teams, evaluates DevOps technologies, drives process improvements, and mentors junior engineers.

Develop moderately complex C/C++/Qt software for computer-aided engineering applications. Responsibilities include designing new functionality, debugging and fixing defects, using configuration management and build tools, supporting Windows and Linux platforms, and providing technical information for user documentation. The role requires graphics and GUI development experience using OpenGL, VTK, and Qt, along with familiarity with CAD/CAE software and scripting.

Develops Cadence Adams MultiBody Dynamics software, including backend business logic, persistence, UI extensions, modeling objects, modernization, automated testing, build pipelines, debugging, and documentation. Collaborates across product teams in an Agile environment while improving software quality, usability, and cross-product integration. The role requires React, JavaScript, Python scripting, layered software architecture, AI-assisted development, and strong communication skills.

Develop, validate, and deploy aeroelastic and aerothermoelastic simulation capabilities across low-, medium-, and high-fidelity methods. Implement numerical solvers, FSI coupling, reduced-order models, and HPC optimizations. Collaborate with structural, CFD, and product teams to transition research into production software, support customer demonstrations, and ensure verification, validation, and CI practices.

The Account Executive will be responsible for driving sales and building relationships to meet company goals in technology sectors.

The Lead Application Engineer will focus on developing solutions in technology, mentoring teams, and driving innovative projects to address complex problems.

The Principal Application Engineer at Cadence will lead innovative projects in technology by solving complex problems and making impactful contributions.

Lead end-to-end testing for web-based engineering applications: design/execute functional and non-functional tests, manage requirements, defects, and stakeholders, drive automation and AI testing, and improve test coverage and efficiency.

Design and automate high-fidelity validation strategies and benchmark models for advanced nonlinear FEA solvers. Build repeatable test cases, validate solver behavior, collaborate with developers and QA, and produce evidence-based validation reports to improve CAE product quality.