Luma

Private Company
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Open Positions1

SF Bay Area / Remote (US)Full-TimeAI/InfrastructurePosted
  • Take end-to-end ownership of production GPU clusters for training and inference across AWS and OCI, keeping them highly available and performant.
  • Join critical re-architecture sessions to redesign systems for higher efficiency and scale.
  • Tune Linux performance deeply, at the OS and kernel level.
  • Build automation in Python, Go, or Bash to manage, monitor, and self-heal infrastructure.
  • Serve as the final escalation for the hardest GPU, networking (InfiniBand/RDMA), and system failures.
  • Help achieve and maintain security certifications like SOC 2 and ISO.
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