Senior Staff Infrastructure Engineer - Virtualization
TensorWave6 months ago
Remote, United StatesStaff+
Responsibilities
- Design and implement scalable virtualization infrastructure for high-density compute and GPU workloads.
- Lead the evolution from existing virtualization platforms such as Proxmox to KVM/QEMU-based architectures.
- Define VM lifecycle, scheduling, migration, performance isolation, resource allocation, failure-domain, and resilience standards.
- Optimize virtualization using NUMA alignment, CPU pinning, scheduling, PCIe topology awareness, GPU passthrough, and device assignment.
- Partner with networking and storage teams to integrate high-throughput networking and distributed or local storage systems.
- Build automation for hypervisor deployment, configuration, image pipelines, cluster scaling, and lifecycle management.
- Troubleshoot system-level performance issues across compute, memory, storage, and networking layers.
- Contribute to long-term platform architecture and infrastructure strategy.
Requirements
- 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, NUMA architectures, memory management, performance tuning, and storage I/O performance.
- Experience designing and operating virtualization platforms at scale across hundreds or more hosts.
- Solid networking fundamentals, including Linux networking with bridges, bonding, and VLANs, plus high-performance networking concepts.
- Experience with infrastructure automation such as Ansible, Terraform, or similar tools.
- Strong troubleshooting skills across distributed systems.
- Preferred: experience in public or private cloud or CSP environments.
- Preferred: familiarity with GPU workloads and passthrough using VFIO, SR-IOV, and advanced NIC features.
- Preferred: experience integrating virtualization with Kubernetes platforms and bare-metal provisioning systems such as MAAS.
- Preferred: exposure to distributed storage systems such as Ceph or Weka and high-performance or low-latency environments.
Benefits
- Stock options.
- 100% paid employee medical, dental, and vision insurance.
- Company Health Savings Account contributions.
- 100% paid employee short-term and long-term disability insurance.
- Life, voluntary supplemental, pet, legal, and other insurance options.
- Supplementary health benefits, including discounted virtual healthcare appointments and serious illness support.
- Flexible Spending Account and 401(k).
- Employee Assistance Program, flexible PTO, paid holidays, parental leave, and other in-office perks.
Tech Stack
Categories
About TensorWave
TensorWave builds an AMD‑exclusive cloud platform for AI workloads, providing Instinct MI325X and MI355X GPU instances and tooling for training, fine‑tuning, and inference, including an inference engine. It sells infrastructure-as-a-service to startups and enterprises that need scalable AI compute. Founded in 2023 and headquartered in Las Vegas, Nevada, the company focuses on GPU‑accelerated cloud infrastructure for generative AI and machine learning teams.