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TensorWave

Scalable AI cloud computing for PyTorch

Supply Chain Analyst

Supply Chain ManagementPosted on Nov 13
Full-timeLas Vegas, NV, USAIn-person

About the Job

Requirements

  • At least 3 years of experience in supply chain analysis, materials planning, or inventory analytics.
  • Familiarity with high-tech hardware supply chains, data center equipment, electronics manufacturing, or cloud/telecom infrastructure.
  • Advanced spreadsheet modeling in Excel or Google Sheets and proficiency writing SQL queries to pull and transform relational data.
  • Working knowledge of modern ERP/MRP systems such as NetSuite, SAP, or Oracle SCM, and tracking tools such as Jira or Asana.
  • Ability to distill complex, shifting supply timelines into clear risk assessments for technical engineering teams and executive leadership.
  • Bachelor’s degree in Supply Chain Management, Industrial Engineering, Operations Research, Business Analytics, Finance, or a related field.

Responsibilities

  • Track end-to-end delivery pipelines for AI compute assets, including GPU clusters, server chassis, storage arrays, network switches, transceivers, and cooling manifolds.
  • Partner with Data Center Capacity Planning to convert rack and cluster deployment forecasts into component-level bills of materials.
  • Monitor purchase orders across Original Design Manufacturers and Original Equipment Manufacturers, mitigate delivery delays, and track commit dates against data center readiness milestones.
  • Maintain operational dashboards detailing component pipeline health, supply chain risk indicators, and capital deployment milestones.
  • Model lead-time sensitivity and price-fluctuation risks for key data center physical plant assets.
  • Support Strategic Sourcing with total-cost-of-ownership calculations, supplier quote comparisons, and vendor contract negotiations.

About the Company

TensorWave

Scalable AI cloud computing for PyTorch

TensorWave provides cloud-based compute power for large-scale AI workloads, with a focus on PyTorch. It runs on AMD MI300X hardware with a scalable fabric that can pool vast amounts of VRAM, and customers access this power through a subscription or pay-as-you-go model. The service allocates the requested compute and storage behind a managed fabric, charging based on usage to offer flexibility and cost-efficiency. TensorWave aims to be a leading AI cloud provider by offering large VRAM pools and strong price‑to‑performance, helping enterprises and research institutions train, fine-tune, and deploy large models without owning hardware.

Company size
51-200
Company stage
Series B
Total funding
$493M
Headquarters
Las Vegas, NV
Founded
2023

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