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Qualcomm

Quick summary

Work type: On-site
Location: Santa Clara, CA
Posted: 14 days ago
Closes: Nov 30, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k

$147k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $166,100–$232,000.

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 742 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 421 roles with salary data.

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At a glance

TL;DR · Careers

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The Principal Machine Learning Engineer role at Qualcomm Technologies, Inc., involves collaborating with hardware teams to co-design advanced AI hardware for inference and training solutions. This senior-level position requires extensive experience in low-level OS-Hardware interactions and developing novel ML architectures. Day-to-day responsibilities include modeling and architecting cutting-edge machine learning hardware, optimizing software to leverage specific hardware features, and leading the integration of ML techniques into products. The ideal candidate will have expertise in machine learning kernels, compiler tools, and model efficiency tools, as well as a strong background in Linux, Android, or QNX operating systems. This role addresses complex product challenges at scale within Qualcomm’s AI solutions portfolio.

Skills

Python C++ Linux Android QNX Machine_Learning CUDA TensorFlow PyTorch Hadoop Kubernetes Docker CI/CD Git Jenkins

What you'll do

Models and develops advanced ML hardware co-designed with software for inference or training.
Develops optimized AI deployment software to leverage specific hardware features.
Leads the integration of machine learning techniques into complex products and systems.
Designs novel ML solutions based on product proposals and roadmaps.
Oversees experiments for training and evaluating ML solutions, providing technical guidance.

What we're looking for

5+ years experience in low-level OS-Hardware interactions (Linux, Android, QNX).
Developed at least one novel Machine Learning architecture.
Expertise in modeling and architecting advanced machine learning hardware.
Experience developing optimized software for AI model deployment on specific hardware.
Leads the integration of machine learning techniques into complex products and solutions.
Oversees experiments to train and evaluate machine learning solutions.

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