Internship Algorithm Engineer Intern Jobs in Toronto, ON

Rail Pass Type:Internship/Co-op(Full-time/Hybrid)

Departure and Arrival Date (Start -End):September 2026 - April 2027 (8 months)

Vacancy: 1

Location:100 Consilium Place, Scarborough, ON M1H 3E3

Work hours/week:40

Pay Details:$23-$30CADhourly

Stations on Your Journey:

Welcome and Onboarding Station

• Intern Orientation

• Online Onboarding Curriculum

• Buddy Program for mentorship and guidance

Hands-OnWork 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 transformationand innovationthat helps support sustainable future

Networking Station

• "Ask Me Anything" with the Executive Committee

• Employee Resource Groups (ERGs)

• SocialIntern Events: Coffee Breaks, Onsite/Offsite events

• Business Intern Events: InternShowcase & Graduationceremony

• Company Social Events:Holiday Party,Employee BBQs, Golf tournament, etc.

About This Opportunity

As a member of the Vital Software Engineering team supporting Ground Transportation Systems in Canada, the intern candidate will work under the direction of a senior software engineer to analyze, design, develop, and test software using continuous integration methods available in our organization.

Joining Hitachi Rail as an intern is a fantastic opportunity to kickstart your career! Our roles offer real-life work experiences that align with your area of study. The Early Careers Program provides more than just a job - it offers training, networking opportunities, career development, and social events.

Key Accountabilities

• Understand and adhere to the company's processes and procedures for developing crucial software for safety-critical railway systems

• Assist in software development and algorithm implementations for safety-critical systems, utilizing languages such as C, Python, and shell scripting

• Develop software tools and scripts to enhance the existing software development toolchain.

• Document the software solution comprehensively on the wiki

• Work closely with cross-functional teams to troubleshoot and resolve automation-related issues

• Collaborate with the team to identify and implement opportunities for further automation in software development and deployment

• Demonstrate strong organizational abilities and quick integration into the team, balancing collaboration and independent work

• Exhibit strong critical thinking skills, assessing situations, identifying potential issues, and proposing alternative solutions

• Embrace challenges and changes with a positive attitude, showcasing adaptability in the face of evolving project requirements

• Provide and receive feedback in a constructive manner, fostering a collaborative and growth-oriented team environment

Key Requirements

• The successful candidate should be working towards a Bachelor's degree from an accredited university or college in Computer/Systems/Mechatronics/Electrical Engineering or an equivalent field

• In-depth knowledge and experience in software development.

• Proficient in C and real-time embedded software.

• Proficient in Python

• Experience in DevOps software environments, including Git, Bitbucket, Jira, Jenkins, and Artifactory

• Excellent written and oral communication skills

• Ability to work 40 hours a week in a hybrid environment for the duration of the internship, with at least 2 days per week in the office.

Preferred Qualifications

• Familiarity with Docker and containerization technologies

• Experience with additional programming languages beyond C and Python (OOP-based)

• Knowledge of software security practices and methodologies

• Previous involvement in open-source projects or contributions

• Exposure to automated testing frameworks and tools

• Participation in hackathons or coding competitions

Ready to Begin Your Journey?

Tap yourticket and apply today.

Line Status: Open until filled

This posting relates to an existing vacancy.

Our hiring process uses both human and technologyassisted (AI) tools to support candidate screening and assessment. All results are reviewed by people, and all hiring decisions are made by people.