AI Infrastructure Engineer
Job Summary
To support the rapid deployment of GPU AI Clouds, the full-time AI Infrastructure Engineer will lead technical deployments, optimize infrastructure, and validate Kubernetes environments for customers in a remote setting.
Key responsibilities
- Drive end-to-end technical deployments for GPU neocloud and AI Factory customers
- Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration and distributed storage backends
- Document reusable playbooks and deployment architectures to facilitate customer self-sufficiency
Required qualifications
- 5+ years of experience deploying and operating Kubernetes in production, preferably on bare metal
- Practical knowledge of NVIDIA GPU Operators and systems-level configuration for GPU nodes
- Deep understanding of CNI plugins and networking fundamentals in layered environments
- Experience with persistent volume configuration and distributed systems like Ceph or Rook
- Comfort operating in ambiguous, fast-moving environments
Complete Job Description
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