Remote AI Infrastructure Engineer

Posted 1 month ago

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Description:

  • Work directly with customers to deploy GPU infrastructure from bare metal to production-ready environments.
  • Lead technical deployments, optimize infrastructure, validate Kubernetes, and ensure customer self-sufficiency.
  • Document playbooks and provide feedback to engineering and product teams.

Requirements:

  • 5+ years of experience with production Kubernetes, preferably on bare metal.
  • Practical knowledge of NVIDIA GPU Operators and CUDA tooling.
  • Deep understanding of networking fundamentals and storage expertise.
  • Ability to operate in fast-moving, ambiguous environments.
  • Familiarity with modern tech stacks and problem-solving.
  • Bonus: Automation skills, Kubernetes certifications, AI/ML experience, and documentation skills.

Benefits:

  • Competitive salary with equity options.
  • Platinum-level health, dental, vision, and life insurance.
  • Flexible working schedule and workplace flexibility.

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