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    AI Infrastructure Engineer (GPU) - Remote EMEA

    Pragmatike

    Remote UEFull-time

    Sul ruolo

    AI Infrastructure Engineer (GPU) at a well-funded distributed-cloud startup, hired through Pragmatike.

    The company builds next-generation AI-native cloud services: GPU-powered infrastructure for AI/ML workloads, secure storage and high-speed data transfer over a decentralized architecture that cuts the environmental impact of traditional cloud. This role owns the GPU infrastructure layer that runs those AI/ML workloads: provisioning, performance and reliability of GPU compute at scale. It suits an infrastructure engineer who understands GPUs, distributed systems and the demands of training and serving models.

    Highlights

    • Own the GPU infrastructure layer: provisioning, performance and reliability of GPU compute at scale
    • For an infrastructure engineer who understands GPUs, distributed systems and training/serving models
    • Fully remote within EMEA timezones, English required
    • Differentiator: a greener, decentralized alternative to hyperscaler GPU cloud, built for AI-native workloads

    Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.