Senior Engineering Manager - Private AI & Cloud-Native

Broadcom; San Diego (CA); On-site; USD 168,000 - 268,000; Full time

Benefits offered by this job

Medical, dental & vision plans

401(k) with company matching

Employee Stock Purchase Program (ESPP)

Employee Assistance Program (EAP)

Paid holidays

Paid sick leave

Vacation

Job summary

Broadcom is seeking a visionary Senior Engineering Manager to lead the development of our Private AI products and services and manage Broadcom’s strategic contributions to the CNCF ecosystem. This role defines engineering culture and guides multi‑million‑dollar AI investments across global teams.

You will lead a global engineering organization, ensure the Private AI platform delivers production‑grade reliability and security, and collaborate with partners to deliver joint solutions.

Qualifications

• Experience leading Kubernetes-based enterprise software teams.
• Strong CNCF/open-source influence with upstream project contributions.
• Experience managing distributed global engineering teams.
• Proven ability with large-scale distributed systems/infrastructure.

Responsibilities

• Lead global high-performing engineering teams focused on Private AI core development and lifecycle management, with deep integration with vSphere, NSX, and vSAN.
• Define and execute Broadcom’s upstream contribution roadmap and influence CNCF/open-source projects.
• Own end-to-end SDLC for Private AI projects, ensuring reliability, security compliance, and scalable operations for enterprise customers.
• Serve as the primary technical face for Broadcom in the AI and CNCF ecosystem.

Skills

Kubernetes Pedigree

CNCF/Open Source Influence

Leadership for Global Teams

Distributed Systems Mastery

Education

MS/PhD in Computer Science or related field

Tools

Kubernetes

Job description

Broadcom is seeking a visionary Senior Engineering Manager to lead the development of our Private AI products and services and manage Broadcom’s strategic contributions to the CNCF ecosystem. This role defines engineering culture and guides multi‑million‑dollar AI investments across global teams.

You will lead a global engineering organization, ensure the Private AI platform delivers production‑grade reliability and security, and collaborate with partners to deliver joint solutions.