Sr Engineering Manager – Private AI

About the role

Please Note:

1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account)

2. If you already have a Candidate Account, please Sign-In before you apply.

Job Description:

Elevator Pitch

Broadcom is seeking a visionary Senior Engineering Manager to lead the development of our Private AI products and services and manage our strategic contributions to the AI upstream community. This isn't just a management role; it’s a seat at the table for the future of the private cloud. Reporting to Senior Leadership, you will have the mandate to define the engineering culture, and drive Broadcom’s multi-million dollar investment in the AI and CNCF ecosystem.

The Role: What You Will Do

The successful candidate will lead a global engineering organization, fostering a culture of technical excellence and rapid innovation. You will be responsible for various components of Private AI, ensuring it meets the rigorous demands of global enterprise customers while simultaneously elevating Broadcom’s influence within the upstream AI community. Your success will be measured by the stability of our platform, the velocity of our releases, and our standing as a top-tier contributor to the CNCF AI ecosystem.

Key Responsibilities

- Engineering Leadership: Lead global high-performing engineering teams focused on Private AI core development and lifecycle management, with deep integration with vSphere, NSX, and vSAN. Work with major partner companies to deliver joint products and solutions.

- Upstream Strategy: Define and execute Broadcom’s upstream contribution roadmap. You will ensure our engineers are influential in key AI related open source projects.

- Platform Excellence: Own the end-to-end SDLC for Private AI projects, ensuring production-grade reliability, security compliance, and seamless "day 2" operations for thousands of enterprise customers.

- Community Advocacy: Act as a primary technical face for Broadcom in the AI and CNCF ecosystem.

Required Skills & Experience

- Kubernetes Pedigree: Experience leading a team that delivers k8s enterprise software/solution with at least 5 years of deep involvement in the Kubernetes ecosystem.

- CNCF/Open Source Influence: Deep technical background and influential status within the Kubernetes and broader CNCF ecosystem, ideally demonstrated through roles such as maintainer, SIG Chair, or a substantial track record of upstream contribution.

- Leadership for Global Teams: experience managing engineering teams in distributed, global environments.

- Distributed Systems Mastery: Proven experience building or operating large-scale distributed systems, control planes, or IaaS/PaaS offerings (comparable to EKS, GKE, or OpenShift).

Preferred Qualifications

- Active leadership status in a CNCF graduated project.