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 efficient AI infrastructure across large-scale GPU clusters.
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AI Systems Software Engineer in Montréal employer: Delos Data
Delos Data is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Montreal. With a strong focus on employee growth, we offer opportunities for professional development and hands-on experience in cutting-edge AI infrastructure projects. Our hybrid work model ensures flexibility while being part of a dynamic team dedicated to pushing the boundaries of technology.
