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Software Analyst Intern; Fall

Job in Toronto, Ontario, C6A, Canada
Listing for: Hitachi Rail
Full Time, Part Time, Contract, Apprenticeship/Internship position
Listed on 2026-06-21
Job specializations:
  • Software Development
    Python, Data Scientist, Computer Science, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 23 - 30 CAD Hourly CAD 23.00 30.00 HOUR
Job Description & How to Apply Below
Position: Software Analyst Intern (Fall 2026, 8 months)
About UsA 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:

Software Analyst Intern Internship Duration:
January 2026 – August 2026 (8 months)
Rail Pass Type:
Internship/Co-op (Full-time/Hybrid)
Departure and Arrival Date (Start
-End):
September 2026 - April 2027 (8months)
Vacancy: 1

Toronto

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 modelA 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.

As a part of the Research and Technology (R&T) team, you bring your knowledge in robotics, computer vision, fusion algorithms, point cloud processing and/or machine learning to build, test and review next generation solutions for the transit market. You will be involved in research and development in support of creating “proof-of-concept” solutions for the urban rail signaling domain.

Key Accountabilities 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 obtain productivity gains

Be a highly productive team member and team player

Key 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 and experience using MS tools (Word, Excel, PowerPoint).Software development experience in C++, Python Be familiar with 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

Preferred Experience:

Currently pursuing a Master’s or PhD in a relevant field

Experience with GPU acceleration frameworks including CUDA or similar parallel computing platforms

Creative problem solver who is open to new ideas

Self-motivated and directed, who welcomes the views of colleagues with diverse perspectives

Good knowledge and experience in one or more of the following: sensor fusion, machine learning algorithms, computer vision

Has previous hands-on experience with electronic sensors and microcontroller programming

Experience with LANs and programming for networked and serial data communication types

Current and practical…
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