Software Analyst Intern (Fall 2026, 8 months)

Hitachi•Toronto, ON

3d•CA$23 - CA$30•Hybrid

About The Position

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.

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

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