2027 Winter Co-op Mechatronic Infrastructure Diagnostic Systems

Vacancy Status:  This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count) AI Disclosure: As part of the application process, Artificial Intelligence will be used in the hiring process for this role. Work Arrangement:  Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Centre (MEC) three times per week at minimum, or other frequency dictated by the business.

GM’s Mechatronic Infrastructure Diagnostic System team is offering you an opportunity to rapidly develop your technical and leadership skills to become tomorrow's most sought-after Diagnostic Professional.  We are seeking a motivated co-op student to support a digital modernization initiative focused on migrating diagnostic content, data, and collaboration solutions from Microsoft-based platforms to new platforms such as Google Workspace, Confluence, Jira, GitHub, etc… What You'll Do In this role, you will help convert Microsoft products into structured GitHub files, Markdown files, Confluence pages, and Goolgle Workspace equivalents.  You will redevelop SharePoint websites using Google-based solutions and migrate SharePoint lists into appropriate destinations.  You will use develop or use AI agents as a critical part of the migration workflow to accelerate analysis, transformation, documentation, and quality checks while applying sound judgment and validating all AI-generated results. This is an opportunity to gain practical experience in data transformation, information architecture, cloud collaboration platforms, automation, and responsible use of AI.  Additional work initiatives will include innovating new test automation tools/scripts, automatically extract and link data from repositories, updating visualization boards, and more.  Success will be measured by how much you bolster and improve the overall health of the enterprise diagnostic ecosystem.

Analyze existing Microsoft Workspace files, SharePoint websites, and SharePoint lists to understand their structure, content, relationships, and business purpose. Define and apply mapping rules between Microsoft Workspace products and their Google Workspace equivalents. Reproduce Microsoft-based documents, spreadsheets, presentations, forms, and collaboration content in Google Workspace where appropriate. Redevelop SharePoint websites as equivalent Google-based sites while preserving usability, navigation, key content, and business requirements. Convert SharePoint lists into suitable approved solutions such as Github, Jira, or other. Identify content, fields, links, permissions, workflows, and dependencies that may require special handling during migration. Develop repeatable processes, templates, scripts, AI-assisted workflows, or other automation to reduce manual conversion effort and improve consistency. Ensure new data is accurate, consistent, and maintainable. Use approved AI tools to assist with content analysis, field mapping, YAML generation, site and list conversion, documentation, and migration-quality reviews. Validate migrated content through structured comparisons, data checks, usability reviews, and stakeholder feedback, including verification of AI-assisted outputs. Document conversion procedures, assumptions, mapping decisions, known limitations, and recommended follow-up actions. Collaborate with technical teams, business stakeholders, and subject-matter experts to clarify requirements and resolve migration issues. Follow GitHub version-control practices, including branching, pull requests, reviews, and clear commit documentation.

Currently pursuing a Bachelor’s degree in Computer Engineering or Computer Science, Electrical engineering, Mechatronics, Robotics, Software Engineering, Applied Science and Engineering, Mechanical Engineering or equivalent Eligible to work full time hours, 40