Software Analyst Intern (Fall 2026, 8 months)

Hitachi Rail; Toronto; Hybrid; CAD 32,000 - 41,000; Full time

Benefits offered by this job

Hybrid work model

Paid internship

Paid vacation

Job summary

Hitachi Rail in Toronto is offering a Software Analyst Intern role from January 2026 to August 2026 (8 months). The internship is full-time with a hybrid work model and attracts a 40-hour workweek.

You will participate in real-time autonomous system analysis, develop software in C++ and Python, and contribute to ML-related projects. The program includes hands-on projects, paid internship and vacation, and opportunities to collaborate with a global leader driving digital transformation and

Qualifications

• Pursuing Bachelor's (2+ years) or Master's in CS/EE/Mechatronics/CE or related field
• Strong programming in C++ and Python.

Responsibilities

• Analyze complex, real-time autonomous system use cases.
• Support project goals and execution; analyze lab/field test results.
• Assist in developing ML, DL, LLMs, and agentic workflow solutions for internal processes and productivity.
• Be a highly productive team member and team player.

Skills

C++

Python

Linux

Git

Docker

PostgreSQL

NumPy

Pandas

scikit-learn

Multithreading

OOP

Virtual environments

Education

Bachelor’s degree (2+ years) in CS/related field

Master’s degree in CS/Electronics/CE/Mechatronics

Tools

Docker

PostgreSQL

Git

Job description

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.

Job Description

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 model
• A chance to build your career with a global leader driving digital transformation and innovationthat 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.

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 expertise in large language models, agentic AI tools, and related protocols such as MCP
• Hands‑on experience with agentic coding platforms, including GitHub Copilot, Claude Code, and Cursor, to enhance development workflows and productivity.
• Proficient in context engineering principles and specification‑driven development, with practical experience in automated test generation and legacy code modernization
• Excellent teamwork record
• Strong leadership skills and experience

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 are reviewed by people, and all hiring decisions are made by people.

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.