Remote GPU Cloud Platform Engineer for Multi-Cluster AI

Yotta Labs; Canada; Remote; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible work environment

Cutting-edge technology projects

Collaborative team culture

Job summary

A pioneering tech company is seeking a GPU Cloud Platform Engineer to join their team. This full-time role involves designing and operating extensive GPU infrastructure for AI workloads in cloud environments. The ideal candidate has a Bachelor's degree in Computer Science and several years of experience in Kubernetes management and cloud-native development. Enjoy a flexible remote work setting and contribute to cutting-edge AI technology.

Qualifications

• 3+ years of experience in system engineering or DevOps.
• 5+ years of experience in cloud-native development or AI engineering.
• Hands-on experience in Kubernetes multi-cluster management.

Responsibilities

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

Skills

Kubernetes multi-cluster management

Performance testing

Cloud-native development

Experience with monitoring tools

Strong communication skills

Education

Bachelor's degree in Computer Science

Tools

Docker

Prometheus

Grafana

kubectl

Helm

Job description

A pioneering tech company is seeking a GPU Cloud Platform Engineer to join their team. This full-time role involves designing and operating extensive GPU infrastructure for AI workloads in cloud environments. The ideal candidate has a Bachelor's degree in Computer Science and several years of experience in Kubernetes management and cloud-native development. Enjoy a flexible remote work setting and contribute to cutting-edge AI technology.