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 workloads
Develop end-to-end integration and stress-testing plans
Test hardware-software boundary conditions beyond unit tests
Debug distributed cluster issues with System Engineers




Use telemetry and profiling tools to identify bottlenecks
Requirements: Strong Python proficiency for automation and orchestration
Experience building test automation for complex back-end systems
Ability to identify root causes in distributed test failures
Experience with Docker, Kubernetes, and contemporary CI/CD tools
Computer Engineering or Computer Science bachelor's or master's degree
Apply Python, distributed systems testing, and profiling expertise to harden performance-critical AI infrastructure in Montreal.

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📌 AI Infrastructure Test Automation Engineer (Quebec City)
🏢 Delos Data
📍 Quebec City