AI Software Metrics & Integration Engineer

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 RESPONSIBILITIES Design 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 repositories CI / 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. Run before / after analyses to evaluate the impact of changes to tools, workflows, and AI solutions. PREFERRED EXPERIENCE Strong programming skills in Python for data processing, integrations, and automation (e.g., Dagster, Prefect) Strong SQL skills and experience with Snowflake or relational databases, (e.g., PostgreSQL, SQL Server, MySQL). Experience integrating with engineering tools and REST APIs (code hosting, CI / CD, issue tracking, test systems). Hands-on experience with at least one BI / dashboarding tool (e.g., Power BI, Tableau, Grafana, Looker). Solid understanding of the software development lifecycle and common engineering workflows. Familiarity with AI / ML or LLM-based solutions, such as using AI APIs to build tools or workflows; experience with agent / workflow frameworks is a plus. Exposure to cloud platforms (Azure, AWS, or GCP) and modern DevOps practices is an asset. Strong analytical, debugging, and problem-solving skills. Excellent verbal and written communication skills, with an emphasis on collaboration and clear storytelling with data. ACADEMIC CREDENTIALS Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Data Engineering, or a related technical field, or equivalent practical experience. LOCATION : Markham, Ontario Canada #LI-PA1 #LI-HYBRID Benefits offered are described : AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and / or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.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 RESPONSIBILITIES Design 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 repositories CI / 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. Run before / after analyses to evaluate the impact of changes to tools, workflows, and AI solutions. PREFERRED EXPERIENCE Strong programming skills in Python for data processing, integrations, and automation (e.g., Dagster, Prefect) Strong SQL skills and experience with Snowflake or relational databases, (e.g., PostgreSQL, SQL Server, MySQL). Experience integrating with engineering tools and REST APIs (code hosting, CI / CD, issue tracking, test systems). Hands-on experience with at least one BI / dashboarding tool (e.g., Power BI, Tableau, Grafana, Looker). Solid understanding of the software development lifecycle and common engineering workflows. Familiarity with AI / ML or LLM-based solutions, such as using AI APIs to build tools or workflows; experience with agent / workflow frameworks is a plus. Exposure to cloud platforms (Azure, AWS, or GCP) and modern DevOps practices is an asset. Strong analytical, debugging, and problem-solving skills. Excellent verbal and written communication skills, with an emphasis on collaboration and clear storytelling with data. ACADEMIC CREDENTIALS Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Data Engineering, or a related technical field, or equivalent practical experience. LOCATION : Markham, Ontario Canada #LI-PA1 #LI-HYBRID

Benefits offered are described : AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and / or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.