Virtualization & Orchestration Engineer

Virtualization & Orchestration Engineer

Location: Hybrid | Bellevue, WA Area
Titles: Intermediate, Senior and Staff (multiple roles available)

A well-funded, rapidly growing AI infrastructure company is building a next-generation cloud platform designed to power the full lifecycle of artificial intelligence. The organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications.

Backed by significant long-term investment, the company combines the speed, ownership, and innovation of a startup with the stability and resources of an established parent organization. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern automation and tooling to build infrastructure capable of supporting the industry's most demanding AI workloads.

We're seeking Virtualization & Orchestration Engineers to build the platform layer that enables customers to reliably consume GPU compute s team is responsible for designing and operating the virtualization, Kubernetes, provisioning, and orchestration systems that power large-scale AI workloads across next-generation data center infrastructure.

This is a foundational engineering role within the company's largest infrastructure engineering organization. You'll help design and build the systems that make GPU capacity available, scalable, secure, and reliable across a multi-tenant AI cloud platform.

You'll work at the intersection of virtualization, Kubernetes, distributed systems, GPU infrastructure, and high-performance computing—solving complex challenges around workload scheduling, resource allocation, cluster management, and infrastructure automation.

This opportunity is ideal for engineers who enjoy building large-scale platforms from the ground up and owning critical infrastructure systems end-to-end.

• Design and build virtualization infrastructure supporting GPU-intensive AI and HPC workloads.

• Develop and operate Kubernetes-based orchestration systems for GPU cluster provisioning and workload scheduling.

• Build automated provisioning systems that enable GPU capacity to be allocated, scaled, and reclaimed efficiently across multiple tenants.

• Design solutions for workload placement, resource management, and cluster lifecycle operations.

• Partner closely with hardware, networking, infrastructure, and AI platform teams to ensure orchestration systems align with real-world cluster architectures and constraints.

• Improve the reliability, security, scalability, and operational maturity of the orchestration platform.

• Build tooling and automation that simplifies infrastructure management and improves developer and customer experiences.

• Contribute to architectural decisions, engineering standards, and best practices as the platform evolves.

• Strong hands-on experience with Kubernetes and container orchestration in production environments.

• Experience designing, building, and operating large-scale infrastructure platforms.

• Background with virtualization technologies supporting cloud, HPC, GPU, or distributed computing environments.

• Understanding of GPU cluster provisioning, workload scheduling, and resource management.

• Experience with Linux-based infrastructure and distributed systems concepts.

• Ability to independently own complex systems from design through production operation.

• Comfortable working in a fast-moving environment where architecture and processes are being established.

• Experience with GPU scheduling technologies such as Slurm, Kubernetes device plugins, NVIDIA GPU Operator, or similar frameworks.

• Experience supporting AI infrastructure, machine learning platforms, HPC environments, or GPU cloud providers.

• Background building multi-tenant infrastructure platforms for cloud providers or large-scale compute environments.

• Experience with infrastructure automation, Infrastructure as Code, and platform engineering…