CN

www.cn.ca

18 Jobs

12,653 Employees

About the Company

CN is a North American transportation and logistics leader focused on supply chain innovation and collaboration. We offer integrated shipping solutions, including rail, intermodal, trucking, freight forwarding, warehousing and distribution. We are an engaged corporate citizen, committed to the safety of our employees, customers and the public. CN is invested in building shareholder value and stronger communities, focused on environmental stewardship and developing an exceptional environment in the workplace. CN has the expertise, the network reach and the capacity to move your goods to a global marketplace in a safe, timely and cost effective manner. Welcome to CN, North America's Railroad.

Listed Jobs

Company Name: CN
Job Title: Intern, Bridge Inspection- EN
Job Description: Job Title: Intern, Bridge Inspection Role Summary: Full‑time summer student role (May 11 – Aug 28, 2026) supporting Bridge Supervisor and Quality Engineer with field bridge inspections, data collection, and mass‑data metric studies. Expectations: Students in Civil Engineering, preferably structures, will travel for 5‑ to 8‑day assignments, work both in the field and in office, and collaborate with senior inspectors and engineers. Key Responsibilities: • Assist bridge inspectors during joint field inspections across the region. • Conduct data entry and preliminary analysis for bridge inventory studies using SAP and Microsoft Excel. • Maintain and update inspection records in SharePoint. • Prepare reports and summaries for the Bridge Supervisor and Quality Engineer. Required Skills: • Proficient in Microsoft Office, especially Excel and Access. • Comfortable with SharePoint and basic database functions. • Strong organizational and analytical skills. • Effective communication and teamwork in a field‑office hybrid environment. • Willingness to travel for 5‑ or 8‑day assignments. Required Education & Certifications: • Current enrollment in a Civil Engineering bachelor’s program, minimum 3 years completed. • Foundation courses: Statics, Structural Analysis, Structural Materials, and Engineering Drafting. • Major in Structures (preferred). • No specific certifications required; relevant coursework or experience considered an asset.

Company Name: CN
Job Title: Intern, Logistic & Customs Compliance- EN
Job Description: **Job title** Intern, Logistics & Customs Compliance **Role Summary** Support the Procurement Center of Excellence by maintaining tariff‑tracking master data and ensuring accurate customs declarations. Work with suppliers, vendors, and internal stakeholders to identify and resolve non‑compliant transactions, update SAP records, and document procedures for long‑term process sustainability. **Expectations** - Full‑time summer internship (May 11–August 28 2026). - Proactive, detail‑oriented, and able to manage multiple tasks independently. - Willing to collaborate across functions and with external partners to achieve timely, compliant outcomes. **Key Responsibilities** - Perform daily analysis of customs reports to identify non‑compliant transactions. - Clean, update, and validate tariff master data in SAP. - Coordinate with vendors and customs brokerage teams to resolve issues. - Collect, verify, and document missing or outdated tariff information. - Prepare reports and maintain documentation of procedures, workflows, and data standards. **Required Skills** - Proficiency in SAP (data entry, reporting). - Strong Microsoft Office skills, especially Excel. - Data management and governance knowledge. - Excellent attention to detail, organizational, and time‑management abilities. - Analytical thinking and problem‑solving skills. - Bilingual communication in English and French (written and verbal). - Effective oral and written communication, collaborative teamwork. **Required Education & Certifications** - Currently pursuing a Bachelor’s degree in Business Administration, Supply Chain, Engineering, or equivalent. - Any additional coursework or experience in logistics, customs, or procurement is an asset.

Company Name: CN
Job Title: Intern, Operational Technology (Onboard & Network Technology)- EN
Job Description: Job Title: Intern, Operational Technology (Onboard & Network Technology)- EN Role Summary: Summer intern tasked with developing and automating solutions for CN’s Operational Technology (OT) systems, including Automated Train Inspection (ATI), Locomotive Onboard Systems (LOBS), and Wayside systems. Responsibilities involve building data pipelines, ML and Computer Vision models, and integrating OT data with cloud services while collaborating with Solution Architects, RAMS Engineers, System Designers, Data Scientists, MLOps, and DevOps teams. Expactations: Full‑time engagement from May 11 2026 to August 28 2026; active participation in agile development cycles; adherence to CN Information & Technology standards (security, architecture, SOX, telecom, software engineering); proactive communication with cross‑functional teams; continuous improvement mindset and delivery of high‑quality code and documentation. Key Responsibilities: • Design and develop OT applications and services. • Write unit tests aligned with specifications and standards. • Participate in test planning and execution. • Design and implement data warehousing solutions. • Build and maintain real‑time and batch data pipelines. • Support data scientists and ML developers in designing and developing ML solutions. • Perform code reviews and enforce coding standards. • Ensure compliance with CN I&T standards and regulatory requirements. Required Skills: • Proficiency in Python, C++, Java, or SQL; familiarity with Spark. • Experience with relational databases (MySQL, PostgreSQL) and data lake concepts. • Knowledge of deep learning frameworks (PyTorch, TensorFlow, Keras). • Linux OS configuration and scripting. • Agile development practices, CI/CD, and pipeline management. • Computer Vision for object detection, segmentation, classification. • Understanding of Active Learning, Semi‑Supervised Learning, and Few‑Shot Learning. • Strong analytical, communication, and problem‑solving abilities. Required Education & Certifications: Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field. Relevant coursework or experience in the above domains is an asset.

Company Name: CN
Job Title: Intern, Operational Technology (GIS Technologies)- EN
Job Description: Job Title: Intern, Operational Technology (GIS Technologies) Role Summary: Full‑time summer internship focused on developing automation, data pipelines, machine learning, and computer vision solutions for operational technology systems such as Automated Train Inspection, Locomotive On‑board, and wayside infrastructure. Supports integration of OT data with cloud services and collaborates with solution architects, engineers, data scientists, and DevOps teams. Expectations: - Internship period: May 11 – August 28 2026. - Work full time with cross‑functional teams, attending design reviews, testing, and code reviews. Key Responsibilities: - Design, develop, and deploy OT applications and services. - Write unit test code aligned with specifications and standards. - Participate in test planning, execution, and quality assurance. - Design and implement data warehouses for OT data. - Build and maintain real‑time and batch data pipelines. - Support ML developers and data scientists in developing ML/ CV solutions. - Ensure compliance with IT security, architecture, project delivery, SOX, telecom, and software engineering standards. - Conduct code reviews and enforce coding standards. Required Skills: - Proficiency in Python, C++, Java, or SQL; familiarity with Spark. - Experience with relational databases (MySQL, PostgreSQL) and data lake concepts. - Knowledge of DL frameworks: PyTorch, TensorFlow, Keras. - Linux OS configuration and scripting. - Experience with Agile development, CI/CD, and pipeline management. - Computer vision skills: object detection, segmentation, classification. - Strong critical thinking, communication, problem‑solving, and value‑creation abilities. - Exposure to active learning, semi‑supervised learning, or few‑shot learning algorithms is a plus. Required Education & Certifications: - Current enrollment in a Bachelor’s, Master’s, or Ph.D. program in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field. - Any additional industry certifications or relevant coursework will be considered an asset.

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