Trimble

Trimble

AI Software Development Engineer in Test

Canada - Kamloops, BC

Sponsorship not specifiedDetected 15 days ago
PythonJavaC#Machine LearningNLPLLMsAgentic AIJiraAccountingLogisticsTest AutomationCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 78%

Of 9 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 508 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Shape the Future of Construction AI as an AI Software Developer Engineer in Test!
  • Join Trimble as we advance our Agentic AI capabilities, bringing transformative AI features and intelligent automation to our award-winning construction collaboration products.
  • The company's innovative and connected ecosystem of solutions improves coordination and collaboration between teams, phases and processes.

Responsibilities

  • Trimble is empowering stakeholders through planning, design, construction and the entire asset lifecycle.
  • Automating work and transforming workflows, Trimble is enabling teams to deliver with confidence at every turn.
  • Lead the quality assurance and test execution for new AI components embedded directly into Trimble software.
  • Design, develop, and adapt custom AI testing tools and automated frameworks to elevate team productivity.
  • Implement automated workflows to evaluate and improve software release quality continuously.
  • We build innovative solutions designed to solve the world's most critical challenges.

Requirements

  • We foster an environment where you are seen, heard, and valued (Belong)

Skills

  • Bachelor's degree in Computer Science or a related technical field, with at least two years of software QA and test automation experience.
  • Hands-on test automation experience using Python, C#, or Java alongside strong QA process fundamentals.
  • Proven experience testing embedded AI products or applying basic AI concepts such as LLMs, NLP, and Machine Learning.
  • Practical familiarity with Model Context Protocol (MCP) server environments and agentic AI workflows.
  • 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.

Benefits

  • We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual.

Company info

  • At Trimble, our core values of Belong, Grow, and Innovate aren't just words-they're the foundation of our culture.
  • Become part of a team where your contributions truly matter.
  • Minimal Why You'll Love Working With Us At Trimble, we're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact.

Equal opportunity

  • Candidate Privacy Notices by Country If you need assistance or would like to request an accommodation in connection with the
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This listing is sourced directly from Trimble's careers page and normalized into a canonical job model.