Distributed AI Infrastructure Engineer
Delos Data
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 efficient AI model execution across GPU clusters.
#J-18808-LjbffrReference: WJ-4483_1457071 · Posted 08 Nov 2026, 02:20 AM