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TensorWave

Scalable AI cloud computing for PyTorch

Data Center Technician

System AdministrationConfirmed live in the last 24 hours
Full-timeMiami, FL, USA

About the Job

Requirements

  • At least 2 years of experience in data center operations, including direct experience with hardware installation, maintenance, and troubleshooting.
  • Strong understanding of data center infrastructure, including networking, servers, and storage systems.
  • Ability to work independently in a fast-paced and dynamic environment.
  • Willingness and ability to travel as needed.

Responsibilities

  • Install, configure, and test new data center infrastructure.
  • Perform maintenance and upgrades to ensure high reliability and performance standards.
  • Monitor system performance, troubleshoot issues, and implement solutions to maintain and enhance data center operations.
  • Coordinate with local and remote teams to ensure smooth operations and timely completion of projects.
  • Maintain records of installations, maintenance, and repairs in accordance with company standards and protocols.
  • Ensure compliance with safety, quality, and data center management best practices during on-site activities.
  • Provide on-site technical support and guidance during critical incidents or outages as part of an on-call rotation.

Desired Qualifications

  • Bachelor’s degree in a technical field.
  • Relevant technical certifications, such as CompTIA or Cisco certifications.
  • Experience with GPUs.
  • Experience with liquid cooling.

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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