Engineering Knowledge Management Intern (Fall 2026, 8 months)

About the role

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in. Toronto, Ontario, Canada (Hybrid) Job Title: : Engineering Knowledge Management Intern Rail Pass Type: Internship/Co-op (Full-time/Hybrid) Departure and Arrival Date (Start -End): September 2026 - April 2027 ( 8months) Vacancy: 1 Location: 100 Consilium Place, Scarborough, ON M1H 3E3 Work hours/week: 40 Pay Details: $23-$30 CAD hourly Stations on Your Journey: Welcome and Onboarding Station Intern Orientation Online Onboarding Curriculum Buddy Program for mentorship and guidance Hands-On Work Station Real-world projects with top industry talent Paid internship + paid vacation Hybrid work model A chance to build your career with a global leader driving digital transformation and innovation that helps support sustainable future Networking Station "Ask Me Anything" with the Executive Committee Employee Resource Groups (ERGs) Social Intern Events: Coffee Breaks, Onsite/Offsite events Business Intern Events: Intern Showcase & Graduation ceremony Company Social Events: Holiday Party, Employee BBQs, Golf tournament, etc. This role is about creating clarity from complexity. Our training materials are currently spread across multiple formats maintained by different international teams. Your job is to consolidate, structure, and maintain this into a coherent system that engineers can use efficiently. You will also document decisions made during key engineering meetings, ensuring knowledge is captured and accessible. You will work closely with discipline referents across systems, software, ITV, safety, and configuration management to extract and structure their knowledge into reusable training materials. This is a local team role with visibility into how a global engineering platform operates. This internship gives you hands-on experience in high-level engineering discussions, allowing you to learn about how the whole V-Cycle is handled in a large-scale organization: ALM Platform Management: How large organizations manage requirements, tests, and traceability across the full product lifecycle Requirements Engineering: The structure behind how safety-critical rail systems are specified, reviewed, and approved Technical Writing at Scale: Creating materials that engineers across disciplines can use efficiently Process Governance: How engineering change control processes work in regulated industries This placement is defined to make your profile AI-proof by allowing you to demonstrate your ability to handle real-world complex multi-disciplinary tasks.

Responsibilities

• Collaborating with colleagues across all engineering disciplines to define and document process into a unified project hosted within our ALM tool.
• Contribute creative ideas and prototypes to structure learning paths for users at varying expertise levels (new user, intermediate, advanced)
• Create how-to guides, cheat sheets, and reference pages for common platform tasks
• Help Process Referents in the creation of Training modules (and maintain a training content inventory: what exists, what needs updating, what is missing)
• Present their findings and recommendations to peers and senior stakeholders
• When required, develop prototypes of Polarion Reports based on defined requirements
• Required Skills and Experience
• Experienced in preparing and giving presentations
• Experienced in exploring and evaluating data
• Experienced in writing documentation, training materials, or tutorials
• Experienced in using AI tools and leveraging their capabilities
• Demonstrates curiosity, willingness to learn, autonomy, and poised to find an effective solutions
• Able to work full time (40 hours) for the agreed work term with a minimum of 2 days (16 hours) in the Toronto office
• Fluent in English both in written and oral communication
• Strong in organizational skills and their ability to balance multiple priorities
• The successful candidate should be working toward a Bachelor's or Master's degree from an accredited university or college in an Engineering-related or Data-related field.
• Preferred Skills and Experience
• Experienced in data processing scripting and automation using Python, Javascript, HTML, CSS
• Experienced in teaching, providing training or knowledge transfer
• Knowledgeable about systems engineering principles
• Experienced in using Github Copilot in their tasks to improve delivery quality
• Ready to Begin Your Journey?
• Tap your ticket and apply today.
• Line Status: Open until filled
• This posting relates to an existing vacancy.
• Our hiring process uses both human and technology‑assisted (AI) tools to support candidate screening and assessment. All results

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