Drimva

Qualcomm

Staff product Manager Handset Technology

$182K–$273K

San Diego, California · On-site · Staff · Full-time · Posted Oct 26, 2026

Experience
8+ years in semiconductor, mobile platform, system architecture, technical product management, systems engineering, or a related field; minimum qualifications also state 5+ years of Product Management or related work experience. Relevant advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years).
Education
Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field; minimum qualifications also list Engineering, Information Systems, Computer Science, or a related technical field.

About the job

Supports planning and execution of next-generation handset experiences by translating customer and market needs into cross-IP technical requirements and coordinating work across Snapdragon platform teams.

What you'll do

  • Research emerging mobile use cases and develop analyses and recommendations for handset technology planning.
  • Translate user experiences into measurable requirements, workloads, KPIs, and evaluation frameworks across system domains.
  • Own defined cross-IP workstreams, align stakeholders, track execution, and support OEM and ecosystem discussions.

What they ask for

  • Bachelor's degree in a relevant technical field.
  • Technical understanding of mobile SoC architecture and depth in at least two relevant domains.
  • Experience translating product or customer needs into technical requirements, usage models, workloads, KPIs, or engineering plans.
  • Experience working across engineering or product organizations to resolve dependencies and deliver complex technical outcomes.

Nice to have

  • Master's degree in Engineering, Computer Science, or a related discipline.
  • Experience with Snapdragon platforms, mobile OEM requirements, or semiconductor IP and platform planning.

Pay

$181,800.00 - $272,600.00 USD base salary

Tools

Snapdragon, CPU, GPU, AI/NPU, Camera, Multimedia, Memory, Connectivity

AI focus

Plans and evaluates mobile AI and multimodal use cases and workloads, including AI/NPU requirements; preferred experience includes mobile AI and agentic systems.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)