Optimize distributed AI workloads in Montreal through C++, Python, Linux, and rigorous performance benchmarking on multi-node clusters.As a System Software Engineer, you will help redefine the infrastructure layer of AI. Your focus includes communication primitives, execution primitives, and software-hardware analysis. The work supports effective execution of large-scale models across thousands of GPUs.Key Responsibilities:

Identify performance bottlenecks in distributed training workloadsInvestigate inference performance through software-hardware interface analysisConduct rigorous multi-node cluster benchmarkingCharacterize performance across large-scale AI workloadsCollaborate across the stack on foundational technology designRequirements:

Strong proficiency with C++ and PythonDeep systems programming fundamentalsKnowledge of memory management and concurrencyUnderstanding of operating system internalsProficiency in Linux development environmentsBring distributed systems analysis, benchmarking, and software-hardware expertise to efficient AI model execution across GPU clusters.

📌 Distributed Ai Infrastructure Engineer (Winnipeg)
🏢 Delos Data
📍 Winnipeg