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TensorWave

Scalable AI cloud computing for PyTorch

Senior Network Automation Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeLas Vegas, NV, USAIn-person

About the Job

Requirements

  • A Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
  • At least 5 years of networking automation or similar engineering experience.
  • Demonstrated expertise in Python, Java, Go, or Rust.
  • Expertise in automation and related tooling, including Ansible and NetBox.
  • Experience with continuous integration and continuous delivery pipelines and Git-based workflows.
  • Multi-vendor experience with Juniper, Cisco, Arista, or white-box networking.
  • Experience with network operating systems including Junos, IOS/IOS-XE, NX-OS, EOS, or SONiC.

Responsibilities

  • Design automation for network deployment and lifecycle management.
  • Build validation, testing, and reconciliation workflows.
  • Develop continuous integration and continuous delivery pipelines for network changes.
  • Support large-scale Ethernet fabric growth.
  • Provide automated configuration and firmware management support for networking gear.
  • Integrate NetBox as a source of truth.

Desired Qualifications

  • Experience in 100G+ environments.
  • Exposure to AI, GPU, or high-performance computing.
  • Experience with automated cabling validations and zero-touch provisioning.
  • Experience with scale-up and scale-out architectures.
  • Experience managing very large Ethernet fabrics.
  • Experience with large edge and ingress networks.

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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