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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.
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.
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Las Vegas, USA
About TensorWave 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
Las Vegas, USA
, USA
Las Vegas, USA
Las Vegas, USA
, USA
Las Vegas, USA
Tucson, USA
, USA
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
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
AMD-exclusive AI cloud provider serving teams with bare-metal GPU infrastructure for training, fine-tuning, and inference.
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Senior · 7+ years experience
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