Kubernetes Platform Engineer - Private AI

Broadcom is seeking a Kubernetes Platform Engineer to join VMware Cloud Foundation's (VCF) AI and Advanced Services team. This role is crucial in building a best-in-class private cloud AI platform within the Private AI Services' Control Plane team. The position focuses on developing Kubernetes-based services that automate the lifecycle of AI Services, including Model Gallery, Model Runtime, ML API Gateway, Data Indexing and Retrieval, and Agent Builder.

The ideal candidate will have extensive experience with distributed systems, particularly in Go or C++, and deep expertise in container technologies. The role requires both technical excellence and strong collaboration skills, as you'll be working with cross-functional teams to design and implement scalable solutions. You'll be responsible for owning the AI platform's end-user CLI, developing automated tests, and troubleshooting complex issues.

This is an opportunity to work with cutting-edge technologies in AI and cloud infrastructure, making a significant impact on enterprise-level AI platform capabilities. The position offers competitive compensation, comprehensive benefits, and the chance to work with talented engineers at a global technology leader. You'll be part of a team that's pushing the boundaries of private cloud AI platforms, making enterprise AI infrastructure more accessible and manageable.

The role combines deep technical expertise in Kubernetes and distributed systems with the excitement of working on advanced AI platform features. If you're passionate about cloud infrastructure, AI technologies, and building scalable solutions that enable enterprise customers to manage their AI workloads effectively, this position offers the perfect blend of challenge and opportunity.