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About the Role

This internship offers a unique opportunity to contribute to the Research and Technology (R&T) team, focusing on building, testing, and reviewing next-generation solutions for the transit market. You will be involved in research and development to create proof-of-concept solutions for the urban rail signaling domain, applying your knowledge in areas like robotics, computer vision, and machine learning.

Responsibilities

• Participate in the analysis of complex, real-time, autonomous system use cases.
• Understand the goal of a research project and support its execution.
• Analyze lab and field test results.
• Support using multiple sensors and the latest software algorithms to control complex, safety-critical systems.
• Assist in developing state-of-the-art machine learning, deep learning, large language models, and/or agentic workflow solutions for optimizing internal processes and obtaining productivity gains.
• Be a highly productive team member and team player.

Requirements

• Currently pursuing a Bachelor’s (minimum 2 academic years completed) or Master’s degree in Computer Science, Electronics, Electrical, Mechatronics, or Computer Engineering, or a closely related field.
• Possess good written and oral communication skills.
• Experience using MS tools (Word, Excel, PowerPoint).
• Software development experience in C++ and Python.
• Familiarity with a minimum set of Python libraries (numPy, pandas, scikit).
• Practical experience of object-oriented techniques, concurrency, parallelism, multithreading, socket programming in a Linux environment.
• Knowledge of modern software engineering practices, methods, and tools.
• Experienced Git user required.
• Knowledge of databases, especially PostgreSQL.
• Knowledge of Docker and containerization.
• Knowledge of Python versions and virtual environments.
• Familiarity with Linux command line.
• Ability to learn new engineering skills, techniques, and use of core company applications.
• Must be able to work full-time (40 hours/week) from January 2026 to August 2026.
• Must be available to work on-site at the Toronto office at least 2 days per week, with flexibility depending on team needs.

Skills

• Robotics
• Computer Vision
• Fusion Algorithms
• Point Cloud Processing
• Machine Learning
• Deep Learning
• Large Language Models
• Agentic Workflow Solutions
• C++
• Python
• numPy
• pandas
• scikit
• Object-Oriented Techniques
• Concurrency
• Parallelism
• Multithreading
• Socket Programming
• Linux
• Git
• PostgreSQL
• Docker
• Containerization
• Python Virtual Environments
• Linux Command Line
• Sensor Fusion
• GPU Acceleration Frameworks (e.g., CUDA)
• Electronic Sensors
• Microcontroller Programming
• LANs
• Networked and Serial Data Communication
• Agentic AI Tools
• MCP
• Agentic Coding Platforms (e.g., GitHub Copilot, Claude Code, Cursor)
• Context Engineering Principles
• Specification-Driven Development
• Automated Test Generation
• Legacy Code Modernization

Location

• Toronto, Ontario, Canada
• 100 Consilium Place, Scarborough, ON M1H 3E3

Work Type

• Full time
• Hybrid

Experience Level

• Internship/Co-op
• Intern

Education Level

• Bachelor’s degree (minimum 2 academic years completed)
• Master’s degree
• PhD

Salary/Compensations

• $23-$30 CAD hourly

Benefits

• Paid internship
• Paid vacation
• Intern Orientation
• Online Onboarding Curriculum
• Buddy Program for mentorship and guidance
• Networking opportunities
• Employee Resource Groups (ERGs)
• Social Intern Events
• Business Intern Events
• Company Social Events

About the Company

• Hitachi Rail Canada Inc. is a global leader in digital transformation and technology, working on cutting-edge projects. The company fosters a multicultural environment with sustainable and innovative work practices. Hitachi Rail is committed to creating a better future through innovation and collaboration.

Equal Opportunity

• At Hitachi Rail, there is a place for everyone. We welcome and value differences in background, age, gender, sexuality, family status, disability, race, nationality, ethnicity, religion, and world view. It is our commitment to create an inclusive environment - we are proud to be an equal opportunity employer.