Software Analyst Intern (Fall 2026, 8 months)

Hitachi•Toronto, ON

2d•CA$23 - CA$30•Hybrid

About The Position

This is an internship position for a Software Analyst Intern with a duration of 8 months, from January 2026 to August 2026. The role is part of the Research and Technology (R&T) team and involves contributing to next-generation solutions for the transit market, focusing on research and development for urban rail signaling. The internship offers hands-on experience with real-world projects, mentorship, and a hybrid work model.

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.
Good written and oral communication skills.
Experience using MS tools (Word, Excel, PowerPoint).
Software development experience in C++, 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.

Nice To Haves

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.

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 obtain productivity gains.
Be a highly productive team member and team player.