AI Infrastructure Engineer

vCluster Labs · Remote · Remote · Singapore ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • Kubernetes + GPU
  • Bare metal focus
  • Pre-sales technical
  • Senior level

Join vCluster Labs as an AI Infrastructure Specialist, working directly with neoclouds and AI factories during critical pre-sales and proof-of-value stages. You will guide customers from bare metal GPU setup to production-ready managed Kubernetes, ensuring they can operate independently. Your work will define the technical playbook for future engagements and scale the company's motion.

What you'll do

  • Lead end-to-end technical deployments for GPU neocloud customers
  • Configure and troubleshoot bare metal GPU nodes and RDMA
  • Validate Kubernetes and vCluster environments for production
  • Transfer knowledge to customer teams for self-sufficiency
  • Document reusable playbooks and deployment architectures
  • Provide feedback to Engineering and Product on infrastructure challenges
  • Support Sales in pre-sales technical proofs of value

What you'll need

  • 5+ years deploying and operating Kubernetes in production
  • Experience with bare metal or high-complexity environments
  • Practical knowledge of NVIDIA GPU Operators and CUDA
  • Deep understanding of CNI plugins and overlay networks
  • Experience with persistent volumes and distributed storage
  • Comfortable working in ambiguous, fast-moving settings
  • Preference for modern tech stacks over legacy systems

Nice to have

  • Automation skills with Bash, Python, or Go
  • CKA certification or experience writing Kubernetes Operators
  • Familiarity with inference serving and LLM deployment
  • Experience building documentation for shared knowledge bases

Stack

  • Kubernetes
  • vCluster
  • NVIDIA GPU Operator
  • CUDA
  • CNI
  • RDMA
  • InfiniBand
  • Ceph
  • Rook
  • Weka
  • Longhorn
  • Bash
  • Python
  • Go

How you'll work

  • Fully remote with a distributed global team
  • Flexible working schedule focused on results
  • HQ in San Francisco but remote-first culture

What you get

  • Competitive salary package including equity
  • Health, dental, vision, and life insurance
  • Coverage for eligible dependents varies by country
  • Flexible schedule for appointments and personal needs