AI Infrastructure Engineer

# AI Infrastructure Engineer Vclusterlabs Remote Full-time

Full-time

RemoteAI & Machine Learning---## About this role
** Experience level:
** Experienced |
** Work mode:
** Remote |
*
* Location:

** Remote As vCluster’s
** AI Infrastructure Specialist,
** you will work directly with customers at the earliest and most critical stage of their journey: from bare metal GPU nodes through to a production-ready deployment. This is not a traditional professional services role; you operate pre-sale as part of a proof of value engagement scoped to reach production. You will be one of the first team members a neocloud or AI Factory engages with at a technical depth, and the playbooks you develop will scale the motion for the next hire and customer.vCluster

is gaining rapid traction with GPU AI Clouds and enterprises building AI Factories: organizations that need to offer Kubernetes as a managed service on bare metal GPU infrastructure, and need to do it fast. This role exists to make that happen.
** As an AI Infrastructure Engineer, your role will include:**
* ** Lead Technical Deployments:
** Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment.
* ** Infrastructure Optimization:
** Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/Infini Band.
* ** Validation:
** Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s.
* ** Knowledge Transfer:
** Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently.
* ** Scaling through Documentation:
** Document reusable playbooks and deployment architectures so your learnings become the next customer's head start.
* ** Feedback Loop:
** Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap.
* ** Strategic Partnering:
** Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value.
** This role could be a fit for you if you bring:**
* ** Production K8s Mastery:
** 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments.
* ** GPU Fluency:
** Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes.
* ** Networking Fundamentals:
** Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments.
* ** Storage Expertise:
** Experience with persistent volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn.
* ** Operational Agility:
** Comfort operating in ambiguous, fast-moving environments where you are often writing the playbook in real time.
* ** Modern Tech Mindset:
** You thrive in environments that reject legacy tech and prefer a modern stack where you can solve a variety of problems from pipelines to internal services.###
** Bonus points for:**
* ** Automation

Skills:

** Experience writing automation scripts with Bash, Python, or Go.
* ** Kubernetes Depth:
** Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators.
* ** AI/ML Familiarity:
** Experience with inference serving, GPU scheduling, and the tooling around LLM deployment.
* ** Documentation:
** Experience building AI Automation in documentation to contribute to a shared knowledge base.##
** About vCluster Labs
** We're the #1 platform for AI infrastructure, trusted by the world's fastest-growing AI cloud builders. We're a…