TensorWave, Inc. logo

Data Center Technician

Job Overview

Location

Tucson, Arizona

Job Type

Full-time

Category

Other Engineering

Date Posted

April 9, 2026

Full Job Description

đź“‹ Description

  • • As a Data Center Technician at TensorWave, Inc., you will play a critical role in building and maintaining resilient AI infrastructure at scale, directly supporting the deployment of advanced workloads for customers in a state-of-the-art Tucson facility.
  • • Day to day, you will install, configure, and test new data center hardware; perform maintenance and upgrades; monitor system performance; troubleshoot and resolve issues; maintain detailed records; ensure compliance with safety and quality standards; and provide on-site technical support during incidents as part of an on-call rotation.
  • • You will join TensorWave’s Data Center Operations team, a mission-driven group focused on delivering seamless, secure, and reliable AI infrastructure by eliminating barriers and challenging the status quo to empower innovation.
  • • In this role, you will deepen your expertise in data center infrastructure, gain hands-on experience with cutting-edge technologies like GPUs and liquid cooling, and grow your technical and problem-solving skills while contributing to the advancement of intelligent computing at exascale.

Skills & Technologies

Spring
Remote
Degree Required

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TensorWave, Inc. logo
TensorWave, Inc.
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About TensorWave, Inc.

TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.

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