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 modern 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 in Montréal employer: Delos Data
Delos Data is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Montreal. With a strong focus on employee growth, we offer opportunities for professional development and hands-on experience in cutting-edge AI infrastructure projects. Our hybrid work model ensures flexibility while being part of a dynamic team dedicated to pushing the boundaries of technology.
