AI Systems Software Engineer

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.