At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence Design Systems is the leading provider of design automation tools for electronic and intelligent systems design. The Circuit Analysis Engineer is responsible for designing, implementing, and maintaining software used for transistor‑level electrical circuit simulation in the epoch of emerging Agentic AI frameworks. Engineer will be part of a team focused on modernizing VLSI circuit simulation tools to integrate into emerging Agentic AI frameworks in the broader electronic design automation context.ResponsibilitiesDesign and implement new software features and interfaces in the Cadence circuit simulation tool portfolio.Contribute to continuous integration, unit testing, and code quality processes using contemporary C++ paradigms and AI‑assisted development workflows.Collaborate with cross‑functional engineering teams in a geographically distributed environment to deliver production‑quality simulation technologies.Required QualificationsMS/PhD in Computer Science or Computer Engineering.Strong software engineering fundamentals, including design, refactoring, debugging, and testing of complex applications.Familiarity with test‑driven development and design of componentized, modular software using minimalist design principles.Demonstrated history of both new software development and ability to refactor existing code bases.Proficient in Python and C++.Must have a solid computer science background to design and deploy production software systems that make use of ML/LLM technology,



even though the role does not involve developing new ML models directly.Desire to develop and deploy next‑generation production EDA tools that have real‑world impact on the productivity of integrated circuit designers.Skills of InterestSoftware quality practices: Experience with unit testing, CI/CD automation, and code review processes.AI‑assisted development workflows: Ability to integrate AI tools into engineering workflows to enhance productivity and code quality.Machine Learning Engineering: Basic background in machine learning, data pipelines, predictive modeling, and deployment.Practical knowledge of frontier LLMs (e.G., GPT‑5, Claude, Gemini families) and understanding of how choices affect latency, cost, and reliability.Agent architecture: Familiarity with concepts such as ReAct, planning/evaluation/self‑correction, persistent memory design, frameworks (LangChain, MCP, function/tool calling, structured outputs).Data and retrieval: Understanding of RAG, retrieval pipelines, embeddings, chunking, and grounding.Context Engineering: Designing structured context to produce consistent, predictable outputs despite changing LLM behavior.Familiarity with electronic design automation tools used for the design of VLSI circuits is a plus.Familiarity with VLSI circuit simulation tools (Spice, Spectre) is a plus.Salary & BenefitsThe annual salary range for British Columbia is 89,600 CAD to 166,400 CAD. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Our benefits programs include paid vacation and holidays, leave of absence programs, Registered Retirement Savings Plan (RRSP), Tax‑Free Savings (TFSA) plan, Employee Stock Purchase Plan, group health coverage that includes dental, vision, and Emotional Well‑Being Support (EAP) benefits for you and your eligible dependents. Cadence also offers employee and dependent Life insurance, short‑term and long‑term disability, Global Travel Medical coverage, Business Travel Accident Insurance, and a funded Lifestyle Spending

📌 Software Engineer - C$89,600 - C$166,400 A Year (Port Moody)
🏢 Cadence
📍 Port Moody