Remote AI Cloud Support Engineer (GPU Infra)

Nscale; United States; Remote; USD 50,000 - 100,000; Full time

Benefits offered by this job

Competitive package with reviews every 12 months

Dynamic progression plan tailored to ambitions

Human-first flexibility in a remote-first environment

Job summary

A leading AI infrastructure company in the United States is looking for a Support Desk Engineer to provide first-line technical support across their GPU cloud platform. Ideal candidates will possess strong troubleshooting skills, experience in cloud environments, and a commitment to delivering excellent customer service. Responsibilities include managing support tickets, resolving technical issues, and working closely with engineering teams. Join a dynamic team where collaboration and innovation are key, and make a significant impact in the AI field.

Qualifications

• 2–4 years of technical support experience in a cloud or infrastructure environment.
• Experience working within structured support processes (ITIL or similar).
• Basic understanding of networking concepts and Linux/Unix systems.

Responsibilities

• Handle incoming support tickets and technical inquiries via email, chat, and ticketing systems.
• Provide timely, professional support in line with established processes and SLAs.
• Troubleshoot issues across Nscale’s GPU cloud platform.

Skills

Strong troubleshooting and analytical problem-solving skills

Excellent written and verbal communication skills

Ability to prioritize effectively in a fast-paced environment

Organized and disciplined approach

Strong team collaboration skills

Tools

AWS

GCP

Azure

Docker

Kubernetes

Jira

Zendesk

ServiceNow

Job description

A leading AI infrastructure company in the United States is looking for a Support Desk Engineer to provide first-line technical support across their GPU cloud platform. Ideal candidates will possess strong troubleshooting skills, experience in cloud environments, and a commitment to delivering excellent customer service. Responsibilities include managing support tickets, resolving technical issues, and working closely with engineering teams. Join a dynamic team where collaboration and innovation are key, and make a significant impact in the AI field.