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AI Infrastructure Engineer, pAGI

Permanentremote5+ yrs📍 San Francisco, 🇺🇸 United States🗣 English

Build large-scale AI training and evaluation infrastructure systems.

Design and operate distributed systems supporting model training, inference, and evaluation at scale. You'll optimize GPU utilization, reduce scheduling bottlenecks, and develop self-service tools for researchers. Requires strong systems engineering background and experience with ML infrastructure or large-scale compute platforms. The role involves hands-on performance tuning, cross-team collaboration, and taking ownership of complex technical problems.

Tech stack
PythonDistributed SystemsGPUKubernetesInferenceML Infrastructure
Rate
Not stated by the agency
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Found at a specialist agency · listed 15 September 2026 · InsideJobs links you to the original posting.