Optimize distributed AI workloads in Montreal through C++, Python, Linux, and rigorous performance benchmarking on multi-node clusters.

As a System Software Engineer, you will help redefine the infrastructure layer of AI. Your focus includes communication primitives, execution primitives, and software-hardware analysis. The work supports effective execution of large-scale models across thousands of GPUs.

Key Responsibilities:
Identify performance bottlenecks in distributed training workloads
Investigate inference performance through software-hardware interface analysis
Conduct rigorous multi-node cluster benchmarking
Characterize performance across large-scale AI workloads
Collaborate across the stack on foundational technology design

Requirements:
Robust proficiency with C++ and Python
Deep systems programming fundamentals
Knowledge of memory management and concurrency
Understanding of operating system internals
Proficiency in Linux development environments

Bring distributed systems analysis, benchmarking, and software-hardware expertise to productive AI model execution across GPU clusters.

📌 Distributed Ai Infrastructure Engineer Montreal (Canada)
🏢 Delos Data
📍 Canada