Staff Linux Platform PM for AI & Edge Systems

Nutanix

San Diego (CA)

On-site

USD 179,000 - 269,000

Full time

12 days ago

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Job summary

Qualcomm Technologies, Inc. is seeking an experienced Staff Product Manager to define and drive the Linux platform roadmap for Snapdragon-based AI PCs, edge AI systems, and developer platforms.

You will coordinate with engineering, OEMs, open-source communities, and enterprise customers to deliver Linux experiences optimized for Snapdragon platforms. The role emphasizes upstreaming, distribution enablement, and commercialization of Linux-based software across AI development, enterprise

Qualifications

  • Experience defining software products and platform roadmaps.
  • Experience with Linux OS, open-source ecosystems, and upstream development models.
  • Ability to translate market and customer needs into platform requirements and roadmaps.

Responsibilities

  • Define Linux platform roadmaps for Snapdragon AI PCs, edge AI systems, and enterprise devices.
  • Drive Linux upstreaming strategy for kernel, drivers, firmware, graphics, and security.
  • Lead distribution enablement with Ubuntu, RHEL, Debian, Fedora, and SUSE.
  • Collaborate with ecosystem partners and customers to shape requirements and enablement plans.
  • Ensure cross-functional alignment across hardware, software, and enterprise services.

Skills

Product management
Roadmap development
Linux ecosystems
Upstreaming
Cross-functional collaboration
Customer engagement

Education

Bachelor's degree in Engineering/CS
Master's degree preferred

Job description

Qualcomm Technologies, Inc. is seeking an experienced Staff Product Manager to define and drive the Linux platform roadmap for Snapdragon-based AI PCs, edge AI systems, and developer platforms.

You will coordinate with engineering, OEMs, open-source communities, and enterprise customers to deliver Linux experiences optimized for Snapdragon platforms. The role emphasizes upstreaming, distribution enablement, and commercialization of Linux-based software across AI development, enterprise

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