AI Software Development Engineer in Test

Role overview

Responsibilities

• Lead quality assurance and test execution for AI components embedded in Trimble software.
• Design, develop, and adapt custom AI testing tools and automated frameworks.
• Advocate for AI test tools, best practices, and automation pipelines across the global QA community.
• Implement automated workflows to evaluate and improve release quality continuously.
• Identify and mitigate model biases and risks in AI features.

Essential skills and experience

• Bachelor’s degree in Computer Science or a related technical field and at least two years of software QA and test automation experience.
• Hands-on automation experience using Python, C#, or Java, with strong QA process fundamentals.
• Experience testing embedded AI products or applying basic AI concepts such as LLMs, NLP, and machine learning.
• Practical familiarity with MCP server environments and agentic AI workflows.
• Ability to build AI agents using diverse AI tools within a QA framework.

Bonus qualifications

• Background in testing embedded AI, chatbots, or cloud and virtualization deployment environments.
• Exposure to performance and security testing techniques.
• Practical understanding of construction back-office functions or accounting workflows.
• Familiarity with Jira and global team collaboration.

Location and work arrangement

• The description states Kamloops, Canada, onsite four days per week.
• Travel requirement is minimal.

Working at Trimble

• Trimble describes a purpose-driven culture focused on real-world impact, collaboration, ownership, belonging, growth, and innovation.