Lead Hardware Program Manager - AI-Scale Systems

Cisco Systems, Inc

San Jose (CA)

On-site

USD 116,000 - 163,000

Full time

4 days ago
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Job summary

Cisco Systems, Inc. is seeking a Hardware Project Manager to lead end-to-end hardware programs from concept through customer release.

This onsite role primarily in Austin, TX, with San Jose, CA as an alternate location. You will partner across hardware and software engineering, product management, and operations, manage budgets and schedules, monitor risks, and drive improvements using automation and AI-enabled workflows.

Qualifications

  • Bachelors in engineering or CS with 5+ years PM hardware/manufacturing experience.
  • Experience using Jira and Confluence to track dependencies, risks, issues.
  • Experience with budget oversight, scheduling, and milestone tracking.
  • Advanced spreadsheet skills for data modeling and visualization.
  • Experience implementing AI-powered tools to improve efficiency.

Responsibilities

  • Steer end-to-end hardware program development from concept to customer release.
  • Align hardware and software engineering, product management, and operations for cohesive delivery.
  • Monitor program health, identify risks, and drive issue resolution.
  • Champion process improvements and governance with automation and AI tools.
  • Coordinate budgets, resources, and ensure projects stay on schedule.
  • Facilitate collaboration with manufacturing partners and external suppliers; provide status updates to leadership.

Skills

Hardware PM
Jira & Confluence
Budget & scheduling
Data modeling
AI tooling

Education

Bachelor's in engineering/CS
Master's in engineering/CS

Tools

Jira
Confluence

Job description

Cisco Systems, Inc. is seeking a Hardware Project Manager to lead end-to-end hardware programs from concept through customer release.

This onsite role primarily in Austin, TX, with San Jose, CA as an alternate location. You will partner across hardware and software engineering, product management, and operations, manage budgets and schedules, monitor risks, and drive improvements using automation and AI-enabled workflows.

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