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Senior Staff Infrastructure Engineer - Virtualization

TensorWave· Engineering
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RemoteFull-timePosted 5mo ago

About the role

Leading the design and evolution of TensorWave's virtualization platform to support large-scale, high-performance AI workloads across multiple data centers, with a focus on KVM/QEMU-based architectures, virtualization at scale, and deep systems problem solving.

Responsibilities

  • Design and implement a scalable virtualization platform capable of supporting high-density compute and GPU workloads
  • Lead the evolution from existing platforms (e.g., Proxmox) toward KVM/QEMU-based architectures
  • Define standards for VM lifecycle management (provisioning, scheduling, migration), performance isolation and resource allocation, failure domains and resilience strategies
  • Optimize virtualization for high-performance workloads, including NUMA alignment, CPU pinning and scheduling, PCIe topology awareness, GPU passthrough and device assignment
  • Partner closely with networking and storage teams to integrate high-throughput, networking (e.g., SR-IOV, RDMA), distributed and local storage systems
  • Build and improve automation for hypervisor deployment and configuration, image pipelines, cluster scaling and lifecycle management
  • Troubleshoot deep system-level performance issues across compute, memory, storage, and network layers
  • Contribute to long-term platform architecture and infrastructure strategy

Qualifications

  • 7+ years of experience in infrastructure, systems engineering, or platform engineering
  • Deep experience with Linux-based virtualization, including KVM/QEMU and libvirt or similar tooling
  • Strong understanding of CPU scheduling and NUMA architectures, memory management and performance tuning, Storage I/O paths and performance characteristics
  • Experience designing and operating virtualization platforms at scale (hundreds+ hosts)
  • Solid networking fundamentals, including Linux networking (bridges, bonding, VLANs) and high-performance networking concepts
  • Experience with infrastructure automation (e.g., Ansible, Terraform, or similar)
  • Strong troubleshooting skills across distributed systems

Skills

Required:Linux-based virtualizationCPU scheduling and NUMAMemory management and performance tuningStorage I/O and performanceNetworking fundamentalsAutomation toolingTroubleshooting distributed systems

Benefits

  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks
Last updated Jul 30, 2026. Interested? Apply on the company site.
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About TensorWave

Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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