GPU Infrastructure Engineer — High-Performance Cloud

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

Benefits offered by this job

401(k) match

Paid time off

Professional development

Remote office stipend

Internet reimbursement

Gym membership reimbursement

Wellable subscription

Job summary

Vultr is seeking a highly skilled GPU Engineer to build and scale high-performance GPU infrastructure powering AI workloads. The role focuses on Linux systems, GPUs, and automation with strong cross-team collaboration in a fast-growing cloud company.

The position emphasizes hands-on hardware/software work, performance engineering, and managing GPU drivers and cluster health. Remote setup and distributed systems experience are valued.

Qualifications

• 2–5 years of experience in systems engineering, infrastructure, or similar roles.
• Hands-on experience with Linux systems and server hardware.
• Familiarity with GPUs (NVIDIA and/or AMD) in production or lab environments.

Responsibilities

• Execute GPU node and cluster bring-up processes across new hardware platforms.
• Validate GPU node functionality through automated and manual testing.
• Troubleshoot hardware and software issues across GPU and OS layers.
• Contribute to automation using Python, Bash, and Ansible.
• Support onboarding and offboarding of systems within GPU clusters.
• Document processes, findings, and improvements for internal teams.
• Install, configure, and maintain GPU drivers, firmware, and system software.
• Monitor GPU cluster health and respond to hardware alerts and failures.

Skills

Linux systems

GPU hardware

Python

Bash

Ansible

NVIDIA CUDA

Tools

NVIDIA CUDA toolkit

Job description

Vultr is seeking a highly skilled GPU Engineer to build and scale high-performance GPU infrastructure powering AI workloads. The role focuses on Linux systems, GPUs, and automation with strong cross-team collaboration in a fast-growing cloud company.

The position emphasizes hands-on hardware/software work, performance engineering, and managing GPU drivers and cluster health. Remote setup and distributed systems experience are valued.