Remote RMA Systems Engineer: Cloud Hardware Diagnostics

Devconnectplatform; United States; Remote; USD 75,000 - 90,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Professional Development Reimbursement

Paid time off + holidays

Remote office stipend

Internet reimbursement

Gym membership reimbursement

Job summary

Vultr is seeking an experienced RMA Systems Engineer to diagnose and resolve complex hardware issues across our cloud infrastructure. You will analyze GPU/CPU failures, coordinate with vendors, and guide on-site remediation actions while documenting findings for our knowledge base.

The role requires hands-on hardware troubleshooting, data center experience, and strong collaboration with engineering and vendor teams. Remote, national scope.

Qualifications

• Experience using Jira to manage technical issues and vendor escalations.
• Experience diagnosing hardware and system-level issues in a data center.
• Hands-on with NVIDIA and/or AMD GPU technologies.
• Familiarity with system logs, firmware behavior, and performance metrics.
• Experience working with hardware vendors and technical escalations.
• Strong written and verbal communication skills.

Responsibilities

• Analyze GPU/CPU hardware failures by evaluating system logs and firmware behavior to determine root cause.
• Perform advanced troubleshooting across hardware, firmware, and OS layers to validate faults.
• Serve as a liaison with hardware vendors, providing diagnostics and guiding resolutions.
• Coordinate on-site remediation actions with vendors and internal teams.
• Evaluate software/firmware versions to identify compatibility issues.
• Document failure analyses and remediation outcomes for knowledge base.

Skills

Jira proficiency

Vendor coordination

Hardware troubleshooting

Documentation

Tools

Jira

Confluence

Vendor portals

GPU tooling

Job description

Vultr is seeking an experienced RMA Systems Engineer to diagnose and resolve complex hardware issues across our cloud infrastructure. You will analyze GPU/CPU failures, coordinate with vendors, and guide on-site remediation actions while documenting findings for our knowledge base.

The role requires hands-on hardware troubleshooting, data center experience, and strong collaboration with engineering and vendor teams. Remote, national scope.