Senior Director Of Engineering, Kubernetes For AI Workloads

Here at OCI we're building the world's largest AI clusters and we're the fastest at bringing them to market. The AI Infrastructure organization at OCI is leading this effort.

As part of this focus on AI workloads and customers we're building managed Kubernetes systems for AI workloads. We are developing HPC job aware , Gang Scheduling and Topology aware capabilities in Kubernetes and building tight integration of Kubernetes scheduling and recovery with the underlying infrastructure that powers the largest GPU clusters on the latest GPUs.

We are integrating Kubernetes tightly with higher level workload scheduling systems. We work with some of the largest players in the AI space and both benefit and learn from these large-scale cutting-edge workloads and their usage of the Kubernetes system.

In this role you would lead the software development organization building out and operating this platform and work with some of the largest players in the AI space building systems that operate at unprecedented speed, scale and reliability. You should be a distributed systems generalist, able to architect broad systems interactions, while being very hands-on, able to dive deep into any part of the stack and lower-level system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.

Career Level - M5