2 Gpuaccelerated Workloads Jobs

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5.0 - 9.0 years

0 Lacs

karnataka

On-site

Role Overview: As an AI Infrastructure engineer and project manager at Lenovo, your primary responsibility will be to install, configure, and deploy AI-based Proof of Concepts (PoCs) into full production environments for enterprise customers. You will focus on deploying Nvidia AI Enterprise solutions on Lenovo hardware to ensure seamless, scalable, and robust production implementations, ultimately helping customers unlock the full potential of AI technologies. Key Responsibilities: - Manage the AI production deployment process from testing to final deployment, configuring, installing, and validating AI systems using key platforms such as VMware ESXi, Linux, Windows Server, Docker, and Kubern...

Posted 2 days ago

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6.0 - 10.0 years

0 Lacs

noida, uttar pradesh

On-site

We are looking for a highly skilled HPC/GPU Operations Engineer with 6-10 years of experience to oversee the management, optimization, and maintenance of high-performance computing (HPC) infrastructure, specifically focusing on GPU-accelerated workloads. Your primary responsibilities will include ensuring the reliability, efficiency, and scalability of HPC systems used for scientific computing, AI/ML, and data-intensive applications. As an IC3 level professional, you will be tasked with the following responsibilities: - Managing and administering HPC clusters, GPU nodes, and high-speed interconnects. - Configuring GPU-accelerated workloads for AI/ML, scientific computing, and simulations. - ...

Posted 2 months ago

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