Join VultrVultr is seeking a highly skilled and experienced
GPU Engineer to help build and scale high-performance GPU infrastructure powering next-generation AI workloads. The ideal candidate is hands-on experience with Linux systems, GPUs, and automation, and is eager to deepen expertise in performance engineering and high-speed networking. This is a highly visible role in a high-growth technology company, which will require strong technical execution, cross-team collaboration, and a willingness to learn complex distributed systems. This is your opportunity to join our fast growing team and leave your mark on Vultr and the future of Cloud Infrastructure.
Key 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
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
- Experience with scripting (Python, 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 (NVIDIA CUDA, AMD ROCm)
Compensation$135,000 - $145,000
Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws.
