Sr. Staff, Engineer

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $178,400–$267,600 / yr
Posted: 12 days ago
Closes: Nov 29, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k

This role $223k

$127k most similar roles pay here $283k

This role pays more than 76% of similar roles. Most pay $150,000–$222,000 — the shaded band above. At the midpoint, this role pays about $223k versus about $186k for comparable roles.

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.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Sr. Staff, Engineer

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As a Principal Machine Learning Engineer at Qualcomm Technologies, Inc., you will join a dynamic team focused on advancing AI technologies for mobile and embedded systems. Your role involves extending machine learning frameworks with new features and optimizations, co-designing hardware and software solutions for inference or training, and developing critical optimized software to enable AI models on specific hardware. You will lead the development of novel ML architectures and collaborate closely with senior leadership and cross-functional teams to integrate advanced ML techniques into complex products. With a strong background in machine learning frameworks like TensorFlow and PyTorch, as well as experience in embedded system optimization and low-level OS interactions, you will contribute to cutting-edge AI solutions that drive innovation across the industry.

Skills

Python TensorFlow PyTorch Keras C++ Linux Android NLP Statistics Probability Bayes_rule Machine_Learning Compiler_Tools MLOps

What you'll do

Leads the development and application of advanced machine learning techniques into products.
Develops novel machine learning hardware co-designed with software for inference or training solutions.
Extends ML training or runtime frameworks to enhance model efficiency through new features and optimizations.
Collaborates with hardware teams on joint design and development of AI-enabling software tools.
Oversees experiments and provides technical expertise in training and evaluating machine learning solutions.

What we're looking for

5+ years experience with Machine Learning frameworks like TensorFlow, PyTorch.
5+ years developing embedded systems and optimizing ML applications in specific domains.
5+ years programming expertise in languages suitable for machine learning (Python, C++, etc.).
3+ years working in a large matrixed organization.
Developed at least one novel Machine Learning architecture.
Experience interacting with senior leadership roles.
Leads technical projects or teams with direct reports.

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