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AI/HPC/NeoCloud Pre-Sales System Engineer UAE

Job Overview

As Everpure, we are transcending traditional storage to deliver the Enterprise Data Cloud - a unified architecture engineered to fuel the world’s most ambitious AI, Deep Learning, and HPC projects. We are seeking a Battle-Trained, High-Conviction Hunting Systems Engineer (SE) to serve as our technical tip of the spear.

Key points

  1. Execute High-Impact Hunting: Partner closely with Account Executives to actively map out and break into net-new enterprise accounts, sovereign GPU clouds…

  2. Design high-performance, multi-tenant data pipelines. Move beyond basic storage architecture to design full-stack environments, optimising how data nodes interact within massive GPU fabrics.

  3. Lead deep-dive architectural workshops with customer GPU cluster architects while simultaneously translating complex engineering concepts into crisp, ROI-driven narratives for C-level executives.

  4. Take absolute control of complex, multi-rack benchmarks, system configurations, and Proof of Value (PoV) exercises to prove Everpure's architectural superiority over the competition.

  5. Full-Stack AI/HPC Understanding: Direct experience working alongside GPU cluster architects. You must understand adjacent compute and networking layers, including NVIDIA DGX architectures, InfiniBand…

  6. Mastery of high-performance file systems, distributed storage architectures, multi-tenancy requirements, and orchestration tools (such as Slurm or Kubernetes).

  7. Deep understanding of how data flows through modern AI pipelines—from raw ingestion and tokenization to model training, localized RAG (Retrieval-Augmented Generation) deployments, and inference.

  8. Background selling or architecting infrastructure from high-performance scale-out storage builders, scale-out NAS vendors, or cutting-edge AI cloud providers (Neo-scalers/Boutique GPU-as-a-Service providers).

Skills

RAGKubernetesDeep LearningETLRoadmappingStorytelling

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