Careers

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Posted
65 days ago
Closes
Oct 7, 2026

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Salary context

How this pay compares to similar roles

Similar $226k
$169k most similar roles pay here $283k

This listing doesn't post a salary. Most similar roles pay $203,150–$249,750.

Based on 239 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 750 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 430 roles with salary data.

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At a glance

TL;DR · Careers

The Senior Director of Engineering position at Qualcomm Technologies, Inc., involves leading the IE-IOT Applied AI IoT Team to develop and execute a strategic roadmap for an advanced AI platform that integrates predictive and generative machine learning algorithms across various Qualcomm chipsets. This role entails overseeing end-to-end execution by collaborating with internal teams responsible for AI tools, customer engineering, edge impulse development, CV/Voice AI, and the AI HUB model onboarding experience. The ideal candidate will hire and lead a global engineering team, fostering innovation and technical excellence while ensuring alignment with company-wide IoT objectives. Key skills include extensive experience in software engineering with a focus on AI and machine learning, leadership in managing and scaling teams, and expertise in major ML frameworks such as TensorFlow or PyTorch.

What you'll do

  • Oversee AI experience development for all IE-IOT chipsets.
  • Lead end-to-end execution of AI projects across multiple Qualcomm teams.
  • Hire and manage a global engineering team for AI portfolio development.
  • Develop strategic roadmap aligning with company IoT objectives.
  • Drive technical excellence by promoting advanced AI and ML technologies.
  • Foster continuous learning and innovation within the organization.

What we're looking for

  • Over 10 years of experience in software or systems engineering with a focus on AI and machine learning.
  • Master’s degree or PhD in computer science, engineering, or related technical field.
  • Proven track record of building and deploying AI platforms at scale.
  • Strong understanding of machine learning frameworks and technologies.
  • Experience managing and scaling high-performing engineering teams.
  • Demonstrated commitment to continuous learning and innovation in AI technology.
  • Ability to collaborate cross-functionally with product, design, and engineering teams.

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