AI/ML Solutions Architect – Distributed Training & GPU Infrastructure
Location: Remote from anywhere Canada
Total compensation up to ~$400k (base + variable), depending on level and experience
Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role is ideal for engineers who enjoy solving deep technical challenges in distributed training, multi-GPU systems, and scalable AI inference infrastructure. You will work directly with AI-focused clients, helping them get the most out of modern GPUs (H100, B200, etc.) and ML frameworks such as PyTorch (and JAX in some environments).
Team & Responsibilities
Work alongside senior AI and infrastructure engineers building large-scale GPU platforms. As part of the customer solutions team, you will:
Required Skills
This role is not a fit if your experience is limited to single-node training, high-level AI strategy, or non-production research environments. We are looking for engineers and architects who thrive at the intersection of AI workloads and large-scale infrastructure.
Interested? Apply!
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