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Back AI Software Metrics & Integration EngineerJOB_DESCRIPTION.SHARE.HTMLCAROUSEL_PARAGRAPHJOB_DESCRIPTION.SHARE.HTMLMARKHAM, Canada Engineering75701CAD $119,280.00/Yr.CAD $178,920.00/Yr.mail_outline Get future jobs matching this search Loginor Register Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.   THE ROLE:As a AI Software Metrics & Integration Engineer, you will sit at the intersection of software engineering, data, and AI-driven automation. Your primary focus is to connect our engineering tools and data, define the right metrics, and turn that information into dashboards and insights that improve how we build, test, and release software. You will integrate data from source control, CI/CD pipelines, issue tracking, and test systems, and work with AI/automation initiatives to understand their real impact on quality and productivity. THE PERSON:You are a hands-on engineer who enjoys understanding how work actually flows through an organization and turning that into measurable, actionable data. You are comfortable writing Python and SQL, integrating with APIs, and building dashboards that make complex systems easy to understand. You are curious about how AI and automation can make engineering better and you communicate clearly with both technical and non-technical stakeholders. KEY RESPONSIBILITIESDesign Engineering Metrics & Telemetry Analyze software development workflows (planning, coding, code review, CI, testing, release, defect management) and identify what should be measured.

Define and implement engineering KPIs such as cycle time, rework, defect trends, test health, and automation/AI adoption.

Design consistent telemetry events and data schemas across tools, pipelines, and services.

Build Data Integrations & Models Integrate data from engineering systems including:Git-based code repositoriesCI/CD systems (e.g., Jenkins, GitHub Actions, Azure DevOps, GitLab CI)Issue/defect tracking and test systems Develop Python + SQL pipelines to extract, transform, and join data into analytics-ready models.

Ensure data quality, consistency, and documentation for metrics and dashboards.

Support AI / Automation Initiatives Collaborate with AI and platform teams to instrument AI agents and automated workflows with rich telemetry.

Help define how to measure the impact of automation and AI (time saved, manual work reduced, quality improvements).Contribute to tools/APIs that expose engineering data and automation capabilities in a robust, secure way.

Deliver Dashboards & Insights Build and maintain dashboards for leadership and engineering teams using modern BI tools.

Translate data into clear insights and recommendations that inform process improvements and automation priorities.

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