GPU Engineer

Role description

Role Overview

Vultr is seeking a highly skilled and experienced GPU Engineer to help build and scale high-performance GPU infrastructure powering next-generation AI workloads.

What You Will Do

Execute GPU node and cluster bring-up processes, validate GPU node functionality, troubleshoot hardware and software issues, and contribute to automation using Python, Bash, and Ansible.

Why It Might Be a Fit

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.

Requirements

• 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)

Benefits

• 100% company-paid insurance premiums for employee medical, dental, and vision plans
• 401(k) plan that matches 100% up to 4%, with immediate vesting
• Professional Development Reimbursement of $2,500 each year
• 11 Holidays + Paid Time Off Accrual + Rollover Plan
• Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year
• $500 stipend for remote office setup in first year + $400 each following year
• Internet reimbursement up to $75 per month
• Gym membership reimbursement up to $50 per month
• Company paid Wellable subscription