Control Tester & Advisor responsible for assessing controls and providing risk advisory support at BMO financial group. Collaborating with business and technology teams to enhance Data & AI governance.
About the role
- Entry-level Software QA role in the Automotive industry focusing on testing AV software systems. Collaborating with engineering teams to ensure software quality for innovative driving features.
Responsibilities
- Support development and execution of test plans, test cases, and test scripts for new and existing sensor software features with or without requirements
- Perform bench, SIL/HIL, and in-vehicle testing as needed to validate software behavior and feature performance
- Create manual test cases that are designed for future automation and assist with implementing automation scripts using standard tools and coding practices
- Execute manual and automated tests, analyze logs and results, troubleshoot test scripts and test environment issues, and document defects
- Collaborate with Software Developers and Systems Engineers continuously to go over requirements, design discussions, and issue investigations
- Assist in triaging software and test failures, tracking issues to closure, and reporting progress against test plans
- Review test cases and automation scripts created by team members and provide constructive feedback
- Contribute ideas to improve test efficiency, test coverage, tooling, and overall product quality
Requirements
- Currently pursuing a Bachelor’s in Computer Science, Mechatronics, Software Engineering, Electrical Engineering, Computer Engineering, or a related field
- Able to work 40 hours per week and for 8 or 12-month term (consecutive semesters) starting September 2026
- Exposure to automotive sensors such as cameras, radars, LiDARs, ultrasonics, or IMUs
- Strong understanding of software testing fundamentals and interest in quality engineering
- Experience with programming in Python, C, or C++
- Familiarity with debugging, log analysis, and problem solving in software or embedded systems
- Interest in ADAS, autonomous systems, or automotive software development
- Strong attention to detail, organization, and time management skills
- Excellent communication skills
- Ability to work effectively in a collaborative team environment and communicate technical findings clearly
- Experience with version control and engineering tools such as GitHub, Jira, Jenkins, or similar platforms is an asset
- Familiarity with test automation frameworks and scripting for validation workflows
- Understanding of embedded software systems and hardware/software interfaces
- Exposure to automotive communication protocols such as Ethernet and CAN
- Experience with AI tools such as Cursor, Copilot and others plus the ability/proven experience to build agents to automate mundane tasks.
- Interest in machine learning, perception systems, or sensor fusion is a plus
- Knowledge of vehicle architectures and system integration concepts is an asset.
Benefits
- Accommodation is available for applicants with disabilities.
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