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Senior Staff Infrastructure Engineer - Virtualization

tensorwave · Las Vegas

Senior 🇬🇧 English
KVM/QEMU libvirt Linux CPU scheduling NUMA memory management storage I/O GPU passthrough VFIO SR-IOV RDMA Ansible Terraform

Job description

About the role

TensorWave is building a high‑performance, AI‑focused cloud platform that removes infrastructure friction for developers. As a Senior Staff Infrastructure Engineer you will lead the design and evolution of the company’s virtualization stack, moving from legacy solutions to a modern KVM/QEMU‑based architecture that can handle dense GPU workloads at scale.

Key responsibilities

  • Design and implement a scalable virtualization platform for high‑density compute and GPU workloads.
  • Transition existing platforms (e.g., Proxmox) to KVM/QEMU‑based solutions.
  • Define standards for VM lifecycle, performance isolation, resource allocation, and resilience.
  • Optimize virtualization for NUMA alignment, CPU pinning, PCIe topology, GPU passthrough and device assignment.
  • Collaborate with networking and storage teams to integrate high‑throughput networking (SR‑IOV, RDMA) and distributed storage.
  • Automate hypervisor deployment, image pipelines, cluster scaling and lifecycle management.
  • Troubleshoot system‑level performance issues across compute, memory, storage and network layers.
  • Contribute to long‑term platform architecture and infrastructure strategy.

Required profile

  • 7+ years of experience in infrastructure, systems or platform engineering.
  • Deep expertise with Linux‑based virtualization (KVM/QEMU, libvirt or similar).
  • Strong understanding of CPU scheduling, NUMA, memory management, and storage I/O performance.
  • Experience operating virtualization platforms at scale (hundreds of hosts).
  • Solid networking fundamentals, including Linux bridges, bonding, VLANs and high‑performance concepts.
  • Proficiency with infrastructure automation tools such as Ansible or Terraform.
  • Excellent troubleshooting skills across distributed systems.

Required skills

  • KVM/QEMU
  • libvirt
  • Linux kernel and networking
  • CPU scheduling & NUMA
  • Memory management & performance tuning
  • Storage I/O paths
  • GPU passthrough (VFIO)
  • SR‑IOV & RDMA
  • Ansible
  • Terraform

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Source : ats:ashby

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Published 4 weeks ago

Expires 1 month from now

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tensorwave

Las Vegas