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 efficient 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:

- Strong 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)
🏢 Delos Data
📍 Montreal