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Engineer - CAD; Methodology

Job in Burnaby, BC, Canada
Listing for: Microchip Technology
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Position: Engineer I- CAD (Methodology)

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc.

People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our ;

we affectionately refer to it as the and it’s won us countless awards for diversity and workplace excellence.

Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over without a great team dedicated to empowering innovation. People like you.

Visit our page to see what exciting opportunities and company await!

Job Description:

As part of the CAD Methodology team, you will play a key role in developing and enhancing EDA tools and design flows that enable Microchip to deliver best-in-class semiconductor products—optimized for power, performance, area, and quality—using cutting-edge implementation methodologies and industry-leading commercial software tools.

Microchip designs products for a wide range of end markets and technologies, including some of the most advanced transistor processes available today.

A forward-looking component of this role involves building agentic AI systems that intelligently orchestrate and automate complex EDA workflows—reducing manual intervention, accelerating design closure, and surfacing actionable insights across the design flow.

Responsibilities

  • Collaborate with an experienced design methodology team to build a robust scripting infrastructure that improves the qualification strategy for commercial EDA tools used in digital IC design.

  • Understand success criteria for various steps and tools in the design flow, then develop automation scripts to validate tool behavior across diverse test scenarios.

  • Design, develop, and deploy agentic AI systems that autonomously orchestrate multi-step EDA workflows, including tool invocation, result parsing, decision-making, and iterative refinement.

  • Integrate large language model (LLM)-based agents with EDA tool APIs and scripting environments (Tcl, Python) to enable natural-language-driven design flow control and intelligent debugging assistance.

  • Build and maintain AI agent pipelines that monitor design metrics (timing, power, area, DRC/LVS violations) and autonomously trigger corrective actions or escalate to engineers based on configurable thresholds.

  • Develop retrieval-augmented generation (RAG) workflows to ground AI agents in EDA tool documentation, internal methodology guidelines, and historical design data, enabling context-aware recommendations.

  • Evaluate and benchmark agentic frameworks and LLM models for applicability to semiconductor CAD use cases; contribute findings back to the broader methodology team.

  • Gain hands-on experience with state-of-the-art semiconductor development tools, including:

  • Logic synthesis

  • Logical equivalence checking

  • Static timing analysis

  • Low-power verification

  • Digital circuit layout in CMOS and FinFET technologies

  • What We Offer:

  • Mentorship and coaching from seasoned methodology experts.

  • Exposure to advanced design methodologies and leading-edge technologies.

  • Opportunities to contribute to high-impact projects that shape next-generation semiconductor products.

  • Requirements/

    Qualifications:

    Agentic AI (Required)

  • Understanding of agentic AI frameworks such as Lang Chain, Lang Graph, Auto Gen, CrewAI, or similar orchestration platforms

  • Experience building multi-step AI agent pipelines that integrate tool use, memory,…

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