Top Engineering Jobs in Montréal, QC

Design, develop, debug, and test cloud-connected firmware features (C/C++ and Go). Support and scale IoT device fleet, build observability and rollout metrics, triage customer/QA issues, and collaborate cross-functionally to deliver production-ready firmware.

Leads Samsara’s Quality Engineering and Test Infrastructure organization, setting strategy and building scalable testing platforms, automation frameworks, environments, simulators, test data systems, and CI/CD integrations. Establishes quality metrics, improves regression prevention and release confidence, reduces flaky tests and feedback times, and partners across engineering and product teams. The role also includes AI-assisted testing initiatives, exploratory validation, organizational leadership, hiring, coaching, and developing engineering managers and senior individual contributors.

Lead design and delivery of full-stack, AI-driven products and platform capabilities. Own technical strategy, ship end-to-end features, build scalable data and API systems, mentor engineers, and partner with product and customer teams to turn ambiguous real-world problems into measurable outcomes.

Build and own technically complex, mission-critical full-stack systems and AI-powered products. Define technical strategy, design and ship end-to-end features across backend, frontend, and mobile, and scale data ingestion and APIs. Lead cross-team projects, mentor engineers, drive technical standards, and partner with product, design, and customer teams to deliver measurable impact.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.

Build and own technically complex, end-to-end full-stack features and platform capabilities for AI-driven IoT products. Define technical strategy, ship backend/frontend/mobile work, scale data ingestion and APIs, partner with product/design/customer teams, mentor engineers, and drive cross-team projects from ambiguous problems to measurable outcomes.