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Remote AI Infrastructure Engineer

at vCluster Labs

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.

Requirements:

  • 5+ years of experience with production Kubernetes, preferably on bare metal.
  • Knowledge of NVIDIA GPU Operators, CUDA, and systems-level GPU configuration.
  • Understanding of CNI plugins, networking, and storage systems like Ceph or Rook.
  • Ability to operate in fast-paced, ambiguous environments and a modern tech mindset.
  • Bonus: Automation skills, Kubernetes certifications, AI/ML familiarity, and documentation experience.

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

Other

Job type

Full-time

Experience level

Lead

Required experience

5 years

Salary

$100,804—$117,605 (EUR 90,000—EUR 105,000) / year

Degree requirement

No degree required

Skills

Node.js GitLab Kubernetes OpenAI GitHub Machine Learning Stripe Payment gateways Large Language Models Python Bash Go CUDA

Location requirements

🌍 Europe 🌍 North America United States

Benefits

Health insurance Dental insurance Flexible working hours Life insurance Competitive salary

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