Ai Infrastructure Test Automation Engineer

Build Python automation for AI infrastructure in a hybrid Montreal SDET role, validating distributed systems, GPU kernels, and AI frameworks.As a Software Development Engineer in Test, you will strengthen reliability and performance across core AI infrastructure. You will create automation frameworks and stress-testing suites for distributed training and inference workloads. The work spans integration testing, telemetry, profiling, and hardware-software boundaries.Key Responsibilities:
Build automated testing frameworks for distributed AI workloadsDevelop end-to-end integration and stress-testing plansTest hardware-software boundary conditions beyond unit testsDebug distributed cluster issues with System EngineersUse telemetry and profiling tools to identify bottlenecksRequirements:
Strong Python proficiency for automation and orchestrationExperience building test automation for complex back-end systemsAbility to identify root causes in distributed test failuresExperience with Docker, Kubernetes, and modern CI/CD toolsComputer Engineering or Computer Science bachelor's or master's degreeApply Python, distributed systems testing, and profiling expertise to harden performance-critical AI infrastructure in Montreal.
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