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 models Bridge high-level frameworks and low-level system software Resolve bottlenecks in training and inference workloads Perform deep software-hardware interface analysis Benchmark multi-node cluster performance rigorously Requirements:

Solid C++ and Python programming skills Systems programming knowledge including memory management Understanding of concurrency and operating system internals Proficiency working in Linux development environments Related bachelor's or master's degree Use systems programming and performance engineering skills to build communication and execution foundations for large-scale generative AI.

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📌 GPU Performance Systems Engineer (Winnipeg)
🏢 Delos Data
📍 Winnipeg