Principal - AI & HPC Data Centre Compute

Responsibilities

• Advise hyperscalers, neoclouds and enterprises on compute strategies for AI and HPC, including power, cooling and network design
• Optimise AI training and inference workloads (LLMs, multimodal and scientific AI) across distributed clusters for cost, throughput and latency targets
• Lead HPC cluster design and orchestration using Slurm, Kubernetes and parallel processing models (MPI)
• Enhance GPU utilisation by addressing bottlenecks across compute, memory and data pipelines; collaborate with energy teams on power-aware scheduling
• Architect scalable AI platforms integrating MLOps frameworks, automation tools and reusable assets
• Develop repeatable AI/HPC offerings, contribute to solution roadmaps and establish strategic partnerships with major ecosystem players
• Track industry trends in AI factories, GPU economics and liquid cooling technologies, representing EPAM at industry events and thought leadership forums

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