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AI Infrastructure Engineer

vCluster LabsRemoteCustomer Engineering
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Salary
SGD 155K – SGD 175K
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

vCluster Labs is hiring an AI Infrastructure Engineer to manage pre-sale technical deployments and customer success globally on a remote basis. This position suits an experienced infrastructure specialist with deep Kubernetes and GPU expertise looking to build modern AI platforms.

Role Overview

The AI Infrastructure Specialist works directly with customers during the initial pre-sale proof of value stage. The professional helps neoclouds and AI Factories move from bare metal GPU nodes to production-ready deployments. The individual acts as a technical bridge between customers, sales, and internal engineering teams.

Key Responsibilities

Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, starting from bare metal configuration to a validated vCluster environment.
Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand.
Deploy and validate Kubernetes and vCluster to provide GPU-powered managed Kubernetes services.
Collaborate alongside customer teams to build self-sufficiency for independent platform operation and growth.
Document reusable playbooks and deployment architectures to scale processes for future customers and team members.
Coordinate with Engineering and Product teams to channel field infrastructure challenges into the product roadmap.
Partner with Sales during pre-sale phases requiring deep infrastructure execution to achieve successful proof of value.

Requirements

Five or more years of experience deploying and operating Kubernetes in production environments, particularly on bare metal or high-complexity infrastructure.
Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes.
Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered setups.
Hands-on experience with persistent volume configuration, CSI drivers, and distributed storage systems like Ceph, Rook, Weka, or Longhorn.
Ability to operate comfortably in ambiguous, fast-paced environments while creating real-time operational playbooks.
Preference for a modern technology stack that avoids legacy systems.

Nice to Have

Experience writing automation scripts using Bash, Python, or Go.
Relevant certifications such as Certified Kubernetes Administrator (CKA) or experience developing Kubernetes Operators.
Familiarity with AI and machine learning tooling, including inference serving, GPU scheduling, and large language model deployment.
Experience building AI automation in documentation for shared knowledge bases.

Skills and Tools

Kubernetes
vCluster
NVIDIA GPU Operators
CUDA
CNI
RDMA
InfiniBand
Ceph
Rook
Weka
Longhorn
Bash
Python
Go
CKA
Slurm
Ray

Salary and Benefits

Salary range of SGD 155,000 to SGD 175,000 with equity and bonus offerings.
Premium insurance coverage including health, dental, vision, and life insurance, with plans tailored to local countries.
Flexible working schedule centered on results rather than traditional clocking in and out.
Workplace flexibility with a remote-first operating model.

About the Company

vCluster Labs is the platform for AI infrastructure, backed by top-tier investors including Khosla Ventures with over $28 million raised. The company operates with a remote-first distributed team and headquarters in San Francisco. vCluster Labs is the creator of vCluster, an open-source tenant isolation technology for Kubernetes with millions of tenant clusters created globally.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

KubernetesvClusterNVIDIA GPU OperatorsCUDACNIRDMAInfiniBandCephRookWekaLonghornBashPythonGoSlurmRayLLMDistributed Systems

Questions candidates ask

What is the salary and compensation structure for this role?

The position offers an annual salary between SGD 155,000 and SGD 175,000, along with equity and bonus opportunities.

Is this a remote position?

Yes, vCluster Labs operates with a remote-first culture and a globally distributed team, although headquarters are located in San Francisco.

How many years of experience are required for the AI Infrastructure Engineer role?

Candidates must bring 5 or more years of experience deploying and operating Kubernetes in production.

What specific technical proficiencies are needed for GPU handling?

The role requires practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes.

What benefits are provided by vCluster Labs?

Benefits include equity, performance bonuses, premium health, dental, vision, and life insurance plans, a flexible working schedule, and workplace flexibility.

Ready to apply?

The application is on the official vCluster Labs careers page.

Apply on company site