
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.
🕒 July 8
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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.
• Design pick, pack, receiving, and RMA workflows for each site's warehouse layout, optimizing for travel distance, throughput, and dock-to-floor time. • Run time and motion studies on warehouse and dock processes, and use the data to set the standard work each site trains against. • Model rack, dock door, and staging layouts for new and existing sites, balancing throughput against real estate cost. • Build the process documentation and standard work instructions that let a new site ramp to full productivity in weeks, not months. • Partner with the WMS and IMS system build teams to make sure new tooling matches the physical workflow, not the other way around.
• You've designed or re-designed a warehouse layout and can point to the throughput or cost improvement it produced. • You've run a time and motion study and turned it into a standard work instruction that a new hire could follow on day one. • You've modeled dock, rack, or staging capacity against real operational data, not rule-of-thumb assumptions. • You've partnered with a systems team to make sure new software matched a real physical process instead of forcing the process to bend to the software. • You get to a site, watch how work actually happens, and find the waste that nobody built a report to catch. • Bonus: Lean Six Sigma or industrial engineering background. Experience in data center, manufacturing, or high-throughput distribution environments. Familiarity with warehouse simulation or layout modeling tools.
• 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🕒 July 8
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