Careers

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Posted
19 days ago
Closes
Nov 14, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $180k
$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,037–$208,800.

Based on 238 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

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At a glance

TL;DR · Careers

As a Principal Machine Learning Engineer at Qualcomm Technologies, you will join a dynamic team focused on advancing the integration of AI in mobile, edge, auto, and IoT products. Your role involves creating and implementing cutting-edge machine learning frameworks and tools to optimize hardware and software for efficient model deployment across various technology verticals. You will collaborate closely with cross-functional teams to develop advanced ML hardware co-designed with software, enhancing features such as NLP and multimedia applications. Key responsibilities include extending training or runtime frameworks, developing optimized software for AI models on specific hardware, and conducting experiments to train and evaluate machine learning models. The ideal candidate has extensive experience in machine learning frameworks like TensorFlow and PyTorch, proficiency in programming languages such as Python and C++, and a strong background in statistics and probability. Additionally, you should have hands-on experience with embedded systems development and low-level OS interactions, along with proven leadership skills to guide technical projects effectively.

What you'll do

  • Leads the development of advanced machine learning hardware co-designed with software.
  • Extends training or runtime frameworks to enhance model efficiency through new features.
  • Collaborates on optimizing AI models for specific hardware features and capabilities.
  • Applies machine learning techniques to develop innovative product solutions and roadmaps.
  • Conducts experiments to train, evaluate, and improve machine learning models and tools.

What we're looking for

  • Master's degree in Computer Science, Engineering, or related field.
  • 5+ years experience with Machine Learning frameworks like TensorFlow and PyTorch.
  • 5+ years of embedded system development and optimization for ML applications.
  • Proficient in programming languages suitable for machine learning (Python, C++, etc.).
  • Strong background in statistics and probability for ML applications.
  • Experience working in a large matrixed organization.
  • Knowledge of low-level OS-Hardware interactions (Linux, Android).

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