AI Infrastructure Engineer — GPU Kubernetes for Production

vCluster; Germany (OH); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive Salary

Platinum-Level Insurance

Flexible Working Schedule

Workplace Flexibility

Job summary

vCluster, located in the United States, is seeking an AI Infrastructure Specialist to work with customers on deploying GPU infrastructures. The role involves leading technical deployments, optimizing infrastructure, and collaborating with customer teams to ensure operational success.

Successful candidates will have over 5 years of Kubernetes experience and practical knowledge of NVIDIA GPU Operators. The position supports a remote-first culture, offering flexibility in the work environment.

Competitive salary ranges from $150K to $200K, alongside comprehensive benefits.

Qualifications

• 5+ years of experience with Kubernetes in production environments.
• Practical knowledge of CUDA tooling and GPU node configuration.
• Experience with persistent volume and distributed systems.

Responsibilities

• Drive end-to-end technical deployments for GPU customers.
• Configure and troubleshoot GPU infrastructure.
• Document playbooks and architectures.

Skills

Kubernetes deployment and operation

NVIDIA GPU Operators

CNI plugins

Persistent volume configuration

Automation scripting

Job description

vCluster, located in the United States, is seeking an AI Infrastructure Specialist to work with customers on deploying GPU infrastructures. The role involves leading technical deployments, optimizing infrastructure, and collaborating with customer teams to ensure operational success.

Successful candidates will have over 5 years of Kubernetes experience and practical knowledge of NVIDIA GPU Operators. The position supports a remote-first culture, offering flexibility in the work environment.

Competitive salary ranges from $150K to $200K, alongside comprehensive benefits.