AI Infra Engineer — Bare-Metal GPU/K8s + Equity

Royper Royco LLC; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health Insurance

Flexible schedule

Remote-friendly

Job summary

vCluster Labs is seeking an AI Infrastructure Engineer to support customers from bare metal GPUs to production Kubernetes deployments. You’ll lead pre-sales engagements, deploy GPU-enabled clusters, and craft scalable playbooks for future customers.

Ideal candidates have 5+ years deploying Kubernetes in production, strong GPU and networking expertise, and a habit of documenting solutions to accelerate onboarding. We offer a remote-first, globally distributed team and equity.

Qualifications

• 5+ years deploying Kubernetes in production, ideally on bare metal.
• Hands-on GPU node configuration, including NVIDIA tooling.
• Strong networking and storage experience in distributed systems.
• Ability to create repeatable playbooks and document solutions.

Responsibilities

• Lead end-to-end GPU-focused deployments from bare metal to production.
• Optimize and troubleshoot GPU node infra, CNI, and storage backends.
• Validate Kubernetes/vCluster environments for GPU-powered managed K8s.
• Transfer knowledge to customer teams and build reusable playbooks.
• Collaborate with Sales during pre-sales for value-driven engagements.
• Document patterns and drive feedback to product and engineering.

Skills

Kubernetes production

NVIDIA GPU

Networking

Storage

Adaptability

Automation

Kubernetes Admin

AI/ML Familiarity

Documentation

Education

CKA (Certified Kubernetes Administrator)

Tools

NVIDIA GPU Operators

CUDA tooling

Ceph

Rook

Weka

Longhorn

Job description

vCluster Labs is seeking an AI Infrastructure Engineer to support customers from bare metal GPUs to production Kubernetes deployments. You’ll lead pre-sales engagements, deploy GPU-enabled clusters, and craft scalable playbooks for future customers.

Ideal candidates have 5+ years deploying Kubernetes in production, strong GPU and networking expertise, and a habit of documenting solutions to accelerate onboarding. We offer a remote-first, globally distributed team and equity.