Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 19 days ago
- Closes
- Nov 14, 2026
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
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.
Skills
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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