Gpu Ai Systems Test Engineer

Delos Data

Test GPU kernels and AI frameworks in a hybrid Montreal SDET role, creating automation that challenges system reliability and performance.You will engineer testing foundations for core AI infrastructure supporting distributed training and inference. The position combines test automation, hardware-software boundary validation, and large-scale troubleshooting. Desired experience includes drivers, firmware, high-performance networking, distributed file systems, or test-bed management.Key Responsibilities:
Develop robust automation frameworks for AI training workloadsBuild stress-testing suites for inference and distributed systemsValidate GPU kernel and AI framework interactionsTest hardware-software boundary conditions through integration plansPartner with System Engineers on complex cluster debuggingRequirements:
Strong Python proficiency in automation and orchestrationExperience extending frameworks for complex back-end systemsAbility to troubleshoot failures and determine root causesDocker, Kubernetes, and modern CI/CD tool experienceDegree in Computer Engineering, Computer Science, or related fieldUse GPU, AI framework, Python, and automation expertise to validate dependable infrastructure across distributed workloads in Montreal.
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