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 productive AI infrastructure across large-scale GPU clusters.

📌 AI Systems Software Engineer (Canada)
🏢 Delos Data
📍 Canada