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:

- Robust 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.

📌 AI Systems Software Engineer (Montreal)
🏢 Delos Data
📍 Montreal