Qualcomm
Staff Product Manager - Fixed Wireless Access
$182K–$273K
San Diego, California · On-site · Staff · Full-time · Posted Oct 29, 2026
- Experience
- 5+ years of Product Management or related work experience. Advanced degrees may substitute for up to two years: Master’s = one year; Doctorate = two years. Preferred qualifications also list 10+ years of Product Management experience, 15+ years of Product Management experience with 5+ years in cellular chipset, modem, or wireless broadband platforms, and 2+ years working with budgets/project financials and negotiating business agreements/partnerships.
- Education
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
About the job
Owns end-to-end product strategy and lifecycle for Qualcomm fixed wireless access chipsets, broadband gateway platforms, and related connectivity solutions, from silicon roadmaps through carrier engagement and commercial launch.
What you'll do
- Define multi-generation FWA, cellular chipset, and gateway product roadmaps; develop business cases and competitive positioning.
- Translate customer and ecosystem needs into product requirements, prioritize platform features, and coordinate engineering, certification, and launch schedules.
- Engage carriers, OEMs, ODMs, and industry forums to validate roadmaps, secure design wins, and represent Qualcomm.
What they ask for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field.
- 5+ years of Product Management or related work experience; completed relevant advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years).
Nice to have
- Master's or Ph.D. in Engineering, Computer Science, or Telecommunications; MBA preferred.
- Expertise in cellular technologies, modem architecture, FWA or broadband CPE product management, and carrier-grade product launches.
Pay
USD 181,800.00 - USD 272,600.00 base salary
Tools
5G NR, LTE, 6G, Wi-Fi 6/6E/7/8, BLE, RDK-B, prplOS, OpenWRT
AI focus
Identify opportunities in AI/ML-enabled network optimization.
Model-written summary · the original posting is authoritative