Power AI workloads with AMD Instinct™ GPUs. Scale models faster with high-performance, dedicated cloud compute.
About the role
We are building large-scale, high-performance infrastructure to power next-generation AI workloads. Our platform operates across multiple data centers and supports GPU-intensive environments with demanding requirements around performance, isolation, and scalability.
What they're looking for
- 7+ years of experience in infrastructure, systems engineering, or platform engineering
- KVM/QEMU
- libvirt or similar tooling
- Experience in cloud or CSP environments (public or private)
- Kubernetes platforms
- Bare metal provisioning systems (e.g., MAAS)
More about this role
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
We are building large-scale, high-performance infrastructure to power next-generation AI workloads. Our platform operates across multiple data centers and supports GPU-intensive environments with demanding requirements around performance, isolation, and scalability.
We are looking for a Staff Infrastructure Engineer to lead the design and evolution of our virtualization platform. This role will own how we build, scale, and operate hypervisor infrastructure as we transition from traditional virtualization platforms toward a more flexible, CSP-aligned architecture based on KVM/QEMU and modern Linux primitives .
This is a highly technical, hands-on role focused on solving complex systems problems at scale.
Design and implement a scalable virtualization platform capable of supporting high-density compute and GPU workloads
Lead the evolution from existing...
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