GPU Engineer

Overview

Vultr is seeking a GPU Engineer to help build and scale high-performance GPU infrastructure powering next-generation AI workloads. The role focuses on Linux systems, GPUs, automation, performance engineering, and high-speed networking while requiring technical execution, cross-team collaboration, and willingness to learn complex distributed systems.

What you'll do

• 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.

What you'll need

• 2–5 years of experience in systems engineering, infrastructure, or similar roles.
• Hands-on experience with Linux systems and server hardware.
• Familiarity with GPUs, including NVIDIA and/or AMD, in production or lab environments.
• Experience with scripting using Python and Bash.
• Exposure to automation tools such as Ansible.
• Strong troubleshooting and problem-solving skills.
• Ability to work across teams and communicate technical concepts clearly.
• Familiarity with GPU drivers and system software, including NVIDIA CUDA and AMD ROCm.

Details

• Location: United States.
• Remote role.