Senior GPU Infrastructure Engineer

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🕒 Maio 18

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟠 Sênior

👷 Engenheiro de Infraestrutura

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1 - 10 funcionários

Fundada em 2019

📣 Marketing

📦 Logística

💼 Consultoria

Marketing • Logistics • Consulting

Somos parceiros de organizações inovadoras para ajudar a identificar e atrair talentos. Uma agência de recrutamento boutique que foca em blockchain e web3. Gostamos de nos conectar com entusiastas de Web3 e descentralização e ajudá-los a encontrar seu lugar no mundo descentralizado.

Descrição

• Help build and scale Hyperbolic's GPU Cloud Marketplace • Build a multi-tenancy provisioning and virtualization solution • Transform raw GPUs from diverse global suppliers into a programmable, orchestrated pool • Serve thousands of AI developers and researchers • Work at the cutting edge of cloud infrastructure • Build the core orchestration layer that enables the platform to deliver up to 75% cost savings compared to traditional cloud providers

🎯 Requisitos

• Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows • Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization • Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation • Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints • Proficiency with API design and cloud-init for automated provisioning and configuration • Solid understanding of GPU architecture, CUDA, and GPU compute optimization • Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders • Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations • Experience building and scaling cloud infrastructure or distributed systems in production environments