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:
Robust 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 Montreal
🏢 Delos Data
📍 Montreal