Cisco
Hardware Project Manager
$124K–$226K
San Jose, California, US +1 · Onsite Only · Manager · Full-time · Posted Oct 28, 2026
- Location
- San Jose, California, US
RTP, North Carolina, US - Experience
- Bachelor’s + 5 years, Master’s + 3 years, PhD + 0 years, or equivalent related work experience.
- Education
- Bachelor’s, Master’s, or PhD; equivalent related work experience is also accepted.
About the job
Leads hardware NPI programs and operational planning across Cisco’s Common Hardware Group, coordinating teams to deliver projects and improve execution visibility.
What you'll do
- Manage cross-functional hardware programs, including plans, schedules, milestones, dependencies, risks, and issue resolution.
- Coordinate business operations such as planning cycles, reviews, reporting, leadership updates, and execution cadences.
- Improve documentation, governance, templates, and team workflows, including responsible use of automation and AI-enabled productivity tools.
What they ask for
- Bachelor’s + 5 years, Master’s + 3 years, PhD + 0 years, or equivalent related work experience.
- Related experience in program/project management, business operations, PMO, chief-of-staff support, hardware design, hardware manufacturing processes, or NPI product development.
- Experience leading cross-functional projects or programs, including plans, milestones, risks, issue resolution, and stakeholder communications.
- Experience supporting business operations or leadership operating rhythms, such as business reviews, action tracking, executive updates, or dashboards.
Nice to have
- Experience with hardware, system-level, networking, telecom, or enterprise infrastructure programs in a PMO or NPI environment.
- Familiarity with product development lifecycles, release readiness, change management, or launch governance.
Pay
$138,100.00 to $196,500.00 USD (salary; base salary range); $138,100.00 - $226,000.00 USD (salary range for New York City Metro Area); $124,000.00 - $201,000.00 USD (salary range for non-Metro New York state & Washington state)
AI focus
Use collaboration, automation, and AI-enabled productivity tools responsibly to improve operational efficiency and program execution.
Model-written summary · the original posting is authoritative