Gpu Performance Systems Engineer
Delos Data
Develop foundational AI systems in Montreal as a hybrid engineer connecting high-level frameworks with low-level software and GPU-scale execution.This System Software Engineer role suits a builder solving difficult systems problems in generative AI. You will create communication and execution primitives for models running across thousands of GPUs. The position combines C++, Python, Linux development, and performance-focused systems programming.Key Responsibilities:
Design foundational technology for next-generation AI modelsBridge high-level frameworks and low-level system softwareResolve bottlenecks in training and inference workloadsPerform deep software-hardware interface analysisBenchmark multi-node cluster performance rigorouslyRequirements:
Strong C++ and Python programming skillsSystems programming knowledge including memory managementUnderstanding of concurrency and operating system internalsProficiency working in Linux development environmentsRelated bachelor's or master's degreeUse systems programming and performance engineering skills to build communication and execution foundations for large-scale generative AI.
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Design foundational technology for next-generation AI modelsBridge high-level frameworks and low-level system softwareResolve bottlenecks in training and inference workloadsPerform deep software-hardware interface analysisBenchmark multi-node cluster performance rigorouslyRequirements:
Strong C++ and Python programming skillsSystems programming knowledge including memory managementUnderstanding of concurrency and operating system internalsProficiency working in Linux development environmentsRelated bachelor's or master's degreeUse systems programming and performance engineering skills to build communication and execution foundations for large-scale generative AI.
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Vacancy posted 36 minutes ago
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