Remote GPU Cloud Platform Engineer: Scale AI Compute

Yotta Labs; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible remote work environment

Innovative team collaboration

Cutting-edge technology challenges

Job summary

A pioneering AI infrastructure company is seeking a GPU Cloud Platform Engineer to design and operate large-scale GPU clusters. This remote position aims to ensure high availability and performance of containerized AI workloads across cloud environments. The ideal candidate should have extensive experience with Kubernetes, cloud-native development, and strong skills in monitoring tools. They will work in an innovative team dedicated to revolutionizing AI infrastructure.

Qualifications

• 3+ years of experience in system engineering or DevOps.
• 5+ years of experience in cloud-native development or AI engineering.
• Hands-on experience with multi-cluster deployment, upgrade, and scaling.

Responsibilities

• Build and operate large-scale, high-performance GPU clusters.
• Conduct performance testing of multi-node GPU clusters.
• Deploy large models across multi-cluster environments.

Skills

Kubernetes multi-cluster management

Cloud-native development

Docker

Monitoring tools (Prometheus, Grafana)

Communication protocols (IB, RoCE)

Team collaboration

Education

Bachelor's degree in Computer Science, Software Engineering, or related fields

Tools

Helm

kubectl

AWS

GCP

Azure

Job description

A pioneering AI infrastructure company is seeking a GPU Cloud Platform Engineer to design and operate large-scale GPU clusters. This remote position aims to ensure high availability and performance of containerized AI workloads across cloud environments. The ideal candidate should have extensive experience with Kubernetes, cloud-native development, and strong skills in monitoring tools. They will work in an innovative team dedicated to revolutionizing AI infrastructure.