GPU Virtualization Engineer

• Strong systems programming skills in C and/or Rust.
• Deep, hands-on experience with KVM/QEMU including hypervisor layer development.
• Solid understanding of Linux kernel internals (memory management, device drivers, VFIO subsystem).
• Practical experience with live migration, CRIU, NVIDIA vGPU, VFIO passthrough, or libvirt device modeling.
• English language proficiency at B1 level or higher.

Nice to have:

• Proven upstream commits in QEMU, KubeVirt, libvirt, CRIU, or Kata Containers.
• Experience with advanced networking and memory optimizations such as GPUDirect RDMA, NCCL, RoCE/InfiniBand, or complex PCIe-topology.
• Familiarity with KubeVirt/Kata-based VM runtimes in Kubernetes and CUDA state serialization.
• Prior experience with core platforms at companies like NVIDIA, Red Hat, VMware, hyperscaler VM infrastructure, or GPU neo-clouds like CoreWeave/Lambda.

• Strong systems programming proficiency in C and/or Rust.
• Work with KVM/QEMU hypervisor layer including patching, extending, or debugging.
• Understand Linux kernel internals, specifically memory management, device drivers, and the VFIO subsystem.
• Handle live migration internals, CRIU (Checkpoint/Restore In Userspace), NVIDIA vGPU/VFIO passthrough, or libvirt device modeling.
• Collaborate with upstream open-source communities such as QEMU, KubeVirt, libvirt, or CRIU.