Build and operate production-grade AI infrastructure using Kubernetes, ensuring high availability, reliability, and performance. Develop custom operators and implement automation for efficient operations and monitoring.

This role involves designing and implementing infrastructure systems for AI workloads, focusing on orchestration, automation, APIs, and compliance in a cloud-native environment. Collaboration across teams is essential for project success.

Build and implement a software-defined networking platform for high-performance AI workloads, ensuring network isolation and high-speed connectivity for research and infrastructure teams.

The role involves designing and building high-performance storage systems for AI workloads, ensuring high-throughput access and data protection while working in a collaborative environment.

Design, deploy, and manage high-performance AI infrastructure, focusing on GPU clusters and computing environments, ensuring optimal performance and reliability.

The Senior Software Engineer will build GPU-accelerated compute platforms for AI workloads, focusing on orchestration, resource management, and performance optimization.