
11 - 50 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud Computing
FluidStack is a company that provides GPU supercomputing infrastructure for AI labs. It offers on-demand access to thousands of Nvidia GPUs, enabling large-scale AI training and inference. The company specializes in deploying and managing large GPU clusters with support for technologies like Kubernetes and Slurm, ensuring high availability and excellent support. FluidStack provides a fully managed cloud infrastructure, helping AI companies to focus on developing models without worrying about the underlying hardware. They emphasize performance and cost-efficiency, offering services that scale to thousands of GPUs with high uptime and rapid response times.
🕒 4 days ago
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11 - 50 employees
🤖 Artificial Intelligence
Artificial Intelligence • Cloud Computing
FluidStack is a company that provides GPU supercomputing infrastructure for AI labs. It offers on-demand access to thousands of Nvidia GPUs, enabling large-scale AI training and inference. The company specializes in deploying and managing large GPU clusters with support for technologies like Kubernetes and Slurm, ensuring high availability and excellent support. FluidStack provides a fully managed cloud infrastructure, helping AI companies to focus on developing models without worrying about the underlying hardware. They emphasize performance and cost-efficiency, offering services that scale to thousands of GPUs with high uptime and rapid response times.
• Own deployment execution for assigned data halls and AI/GPU clusters. • Track and drive deployment milestones, critical-path tasks, and go/no-go criteria. • Coordinate on-site activities spanning construction handover, hardware installation, and network bring-up. • Manage and hold accountable OEM/ODM vendors and contractors. • Confirm commissioning and hardware-validation steps are completed before handoff. • Own a clean operational handoff: acceptance criteria, as-built documentation, runbooks, and turnover.
• 3–5 years delivering data center, infrastructure, or large-scale hardware deployment projects. • Working understanding of the data center delivery lifecycle. • Familiarity with commissioning levels (L2–L5). • Exposure to AI/GPU or high-density compute infrastructure. • Demonstrated ability to own a project or workstream end to end. • Experience coordinating vendors, contractors, or cross-functional teams. • Comfortable operating with ambiguity and evolving requirements in a fast-moving environment. • Strong organizational and communication skills. • Ownership mindset: you take initiative, fill gaps, and follow through to the outcome rather than waiting to be told. • Willing and able to travel to data center locations (up to 50–60% travel during active deployments).
• Competitive total compensation package (salary + equity). • Retirement or pension plan, in line with local norms. • Health, dental, and vision insurance. • Generous PTO policy, in line with local norms.
Apply Now🕒 5 days ago
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