AI/ML Infrastructure Engineer
Vultr is seeking a Staff AI/ML Infrastructure Engineer to design, perform, and ensure the reliability of its AI infrastructure platform. This role involves maintaining GPU and bare metal infrastructure, building scalable GPU clusters, and developing automated testing systems for GPU-based platforms. The ideal candidate will have deep GPU systems knowledge, strong automation experience, and a track record of technical leadership.
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 is seeking a highly skilled and experienced Staff AI/ML Infrastructure Engineer to drive the design, performance, and reliability of our AI infrastructure platform. The ideal candidate is a hands-on infrastructure expert with deep GPU systems knowledge, strong automation experience, and a track record of technical leadership in high-performance environments. This is a highly visible role in a high-growth technology company, requiring ownership of complex hardware and software systems, collaboration across engineering and vendor partners, and a relentless focus on operational excellence. This is your opportunity to build the foundation powering next-generation AI workloads and leave a lasting mark on Vultr and the future of cloud infrastructure.
Posted June 10, 2026