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FluidstackFL

Field Network Engineer – Datacenter Deployments

What started as an ambitious initiative in the tech sector has blossomed into Fluidstack, a premier AI cloud platform dedicated to providing unparalleled compute power for leading AI laboratories across the globe.

Fluidstack

Employee count: 51-200

United States only

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A technology infrastructure company in San Francisco is seeking a Network Engineer for their Deployment & Integration team. You will be engaged in building and validating datacenter network infrastructure for AI technologies. The role demands hands-on execution, strong troubleshooting skills, and readiness for extensive travel. The ideal candidate has 3-7 years of experience in network engineering and is passionate about working in a fast-paced environment.
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United States +/- 0 hours

About Fluidstack

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What started as an ambitious initiative in the tech sector has blossomed into Fluidstack, a premier AI cloud platform dedicated to providing unparalleled compute power for leading AI laboratories across the globe. Founded with a vision to democratize access to top-tier GPU resources, Fluidstack has quickly positioned itself as a trusted partner for companies requiring substantial computational resources for AI training and inference.

Fluidstack's offerings are centered around instant access to thousands of NVIDIA GPUs, including cutting-edge models such as the H100 and A100. Organizations can deploy large-scale GPU clusters that can exceed 4,096 GPUs, made possible through their fully managed infrastructure utilizing Slurm and Kubernetes. This deployment capability is complemented by impressive storage solutions, featuring over 1PB of shared storage and high-speed InfiniBand for optimal data handling. With a commitment to customer satisfaction, Fluidstack promises a remarkable 99% uptime and industry-leading 15-minute response times, making it an ideal choice for companies needing robust support while focusing on their groundbreaking AI projects. Trusted by major players in the AI sphere, Fluidstack continues to expand its services, launching new GPU instances and enhancing its infrastructure to meet the demanding needs of AI businesses worldwide.

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Fluidstack

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