GPU Systems Engineer — Linux, Automation, CUDA/ROCm

Vultr; United States; Remote; USD 135,000 - 145,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k)

PTO

Sabbatical

Professional development

Job summary

Vultr is seeking an experienced engineer to lead GPU node and cluster bring-up, validation, and testing across new hardware platforms in the US. You will troubleshoot GPU/OS issues, maintain drivers and firmware, and monitor cluster health to ensure high availability and performance.

Ideal candidates have 2–5 years of systems engineering experience with Linux and GPUs, plus strong automation skills using Python, Bash, and Ansible and familiarity with CUDA/ROCm.

Qualifications

• 2–5 years systems engineering/infrastructure experience with Linux, GPUs, and scripting.
• Strong automation skills with Python, Bash, and Ansible; familiarity with CUDA/ROCm.

Responsibilities

• Execute GPU node and cluster bring-up, validation, and testing across new hardware platforms.
• Troubleshoot GPU/OS issues, maintain drivers/firmware, and monitor cluster health.

Skills

Linux

GPU experience

Scripting

Tools

Python

Bash

Ansible

CUDA/ROCm

Job description

Vultr is seeking an experienced engineer to lead GPU node and cluster bring-up, validation, and testing across new hardware platforms in the US. You will troubleshoot GPU/OS issues, maintain drivers and firmware, and monitor cluster health to ensure high availability and performance.

Ideal candidates have 2–5 years of systems engineering experience with Linux and GPUs, plus strong automation skills using Python, Bash, and Ansible and familiarity with CUDA/ROCm.