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 stack
Resolve bottlenecks in distributed training and inference workloads
Analyze software-hardware interfaces through deep technical investigations
Benchmark and characterize performance on multi-node clusters
Requirements: Strong C++ and Python proficiency
Understanding of memory management, concurrency, and operating system internals
Proficiency in Linux development environments
Bachelor's or Master's degree in a related field
Montreal-based availability for hybrid work
Apply systems programming, performance analysis, and Linux expertise to advance effective AI infrastructure across large-scale GPU clusters.

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📌 AI Systems Software Engineer (Quebec City)
🏢 Delos Data
📍 Quebec City