Remote AI Infrastructure Engineer

Posted 1 hour 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.
  • Collaborate with sales during pre-sales engagements for proof of value.

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 persistent storage systems.
  • Ability to operate in fast-paced, ambiguous environments and a modern tech mindset.
  • Bonus: Experience with automation scripting, Kubernetes certifications, AI/ML familiarity, and documentation skills.

Benefits:

  • Competitive salary and equity package.
  • Premium health, dental, vision, and life insurance for you and dependents.
  • Flexible working schedule and workplace flexibility.

Job title

Job type

Experience level

Required experience

5 years

Salary

$121,143—$136,774 (SGD 155,000—SGD 175,000) / year

Degree requirement

No degree required

Location requirements

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