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TensorWave

Scalable AI cloud computing for PyTorch

Senior Videographer

Video Production & EditingConfirmed live in the last 24 hours
Full-timeLas Vegas, NV, USA

About the Job

Requirements

  • At least 2 years creating short-form content for a brand, media company, or as an independent creator.
  • Able to travel up to 70%, often on short notice, to cover conferences and industry events.
  • Comfortable shooting on both an iPhone and a mirrorless camera.
  • Able to edit quickly using Premiere, CapCut, Descript, a mixture of these tools, or equivalent tools.
  • Able to work quickly and independently in fast-moving environments.
  • Comfortable and professional around executives and talent.

Responsibilities

  • Follow founders, executives, and key team members to capture authentic, unscripted content.
  • Shoot and edit short-form content for LinkedIn, X, Instagram Reels, and YouTube Shorts with quick turnaround.
  • Cover conferences and events with same-day or next-day recap content.
  • Develop a consistent posting rhythm that keeps TensorWave visible and human.
  • Pitch and capture original content ideas that do not require a full production lift.

Desired Qualifications

  • Experience covering live events or conferences.
  • Background in short documentary or run-and-gun production.
  • Familiarity with AI, technology, or infrastructure topics.
  • A genuine interest in AI and what is being built in this space.

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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