About the opportunity
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 at scale. This 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.
The opportunity
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.