Build AI infrastructure in Montreal as a hybrid System Software Engineer using C++, Python, and Linux systems programming expertise.This engineer bridges high-level AI frameworks with low-level system software. You will design communication and execution primitives for AI models across thousands of GPUs. The work addresses performance, scalability, and resiliency challenges in large-scale AI data center clusters.Key Responsibilities:

Influence foundational technology design across the software stackResolve bottlenecks in distributed training and inference workloadsAnalyze software-hardware interfaces through deep technical investigationsBenchmark and characterize performance on multi-node clustersRequirements:

Robust C++ and Python proficiencyUnderstanding of memory management, concurrency, and operating system internalsProficiency in Linux development environmentsBachelor's or Master's degree in a related fieldMontreal-based availability for hybrid workApply systems programming, performance analysis, and Linux expertise to advance efficient AI infrastructure across large-scale GPU clusters.

📌 Ai Systems Software Engineer (Winnipeg)
🏢 Delos Data
📍 Winnipeg