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lightningai

14 days ago

Infrastructure Engineer (GPU & Compute)

Hybrid · London, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States London, England, United Kingdom; New York, New York, United States; Remote; San Francisco, California, United States; Seattle, Washington, United States

pythonpytorch infrastructure engineering

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AI TL;DR

You will manage and validate large-scale GPU-enabled infrastructure while developing automation tools. This role can be fully remote or hybrid from select office locations.

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  1. What would you ship in the first month as Infrastructure Engineer (GPU & Compute) at lightningai?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

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Job description

You will manage and validate large-scale GPU-enabled infrastructure while developing automation tools. This role can be fully remote or hybrid from select office locations.

Details

  • Remote or hybrid from NYC, SF, Seattle, or London
  • $180,000—$220,000 USD
  • 5+ years of experience
  • Skills: Python, GPU systems, Linux

The work

  • Own systems for image management and validation across bare-metal infrastructure
  • Run and maintain test clusters for system diagnostics
  • Develop automation tools to improve operational efficiency
  • Collaborate with cross-functional teams on system requirements