GPU Engineer

Who We Are

Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company.

Vultr Cares

• 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

• Commitment matters to Vultr! 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

Join Vultr

Vultr 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.

Inclusion & Privacy

We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted.

We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures.

Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy.