Careers

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Posted: 52 days ago
Closes: Oct 12, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $189k

$146k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $156,723–$222,250.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 270 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 196 roles with salary data.

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At a glance

TL;DR · Careers

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As a Staff AI Platform Product Manager at Qualcomm Technologies’ Wireless Broadband and Connectivity (WBC) business, you will lead the development of an advanced AI platform strategy to enhance FWA broadband solutions for carrier and enterprise markets. Your day-to-day responsibilities include identifying new use cases, collaborating with engineering teams on feature requirements, driving ecosystem partnerships, and managing software integration from strategic planning through product launch. You will leverage deep learning frameworks like TensorFlow and PyTorch, possess strong edge compute expertise, and understand cellular radio access technologies. Additionally, you must have experience with networking protocols and Linux data path tools to ensure seamless AI application development and deployment across diverse platforms. This role demands exceptional communication skills and a deep understanding of the evolving AI landscape to drive innovation in network efficiency and performance for IoT and smart home solutions.

Skills

TensorFlow PyTorch Kubernetes Docker Linux Python Caffe Keras AWS Azure GCP RDMA TCP UDP IP 802.3 802.11x LinuxNetworkingTools QoS PacketFiltering DPI Firewall WirelessIDSIPS NetworkInstrumentationTelemetry CI/CD

What you'll do

Identify AI-enhanced FWA platform use cases and develop business plans.
Specify feature requirements for SoC product managers to integrate AI capabilities.
Assist engineering teams in developing new AI-enhanced features for successful deployment.
Drive an extensive ecosystem of third-party developers for Qualcomm’s AI applications.
Define AI model training strategy, including compute and data lake architecture needs.
Manage AI application integration into WBC software platform lifecycle from planning to execution.
Lead product launches and develop key marketing messages for AI-enhanced FWA platforms.

What we're looking for

Extensive experience in deep learning frameworks like TensorFlow and PyTorch.
Strong background in edge compute ecosystems including cloud and on-device solutions.
Expertise in virtualized environments for compute, network, and storage.
Proven ability to communicate effectively across diverse technical teams globally.
Deep understanding of cellular radio access technologies (2G/3G/4G/5G).
Experience with networking protocols such as RDMA/TCP/IP and wireless standards.

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