Staff Engineer

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $158,400–$237,600 / yr
Posted: 2 days ago
Closes: Nov 29, 2026

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k

This role $198k

$131k most similar roles pay here $256k

This role pays more than 53% of similar roles. Most pay $165,000–$220,500 — the shaded band above. At the midpoint, this role pays about $198k versus about $193k 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 621 open roles on FindRole.

Listed pay typically runs $148,300–$224,400 across 562 roles with salary data.

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At a glance

TL;DR · Staff Engineer

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Join Qualcomm Technologies as a Principal Engineer specializing in the intersection of hardware and software for advanced machine learning solutions. This role involves architecting and developing cutting-edge ML hardware co-designed with software teams to optimize AI model deployment on specific hardware features. You will collaborate closely with hardware engineers, develop efficient compiler tools and model efficiency techniques, and apply machine learning methodologies to create innovative products and customer-facing AI solutions. The ideal candidate has 2+ years of experience in low-level OS-Hardware interactions and expertise in C++, Python, and ML frameworks like TensorFlow or PyTorch. This position requires a deep understanding of AI hardware acceleration and the ability to drive complex product roadmaps through experimental validation and evaluation.

Skills

C++ Python Linux Android QNX Machine Learning AI Models Hardware Architecture Compiler Tools Model Efficiency Tools Inference Solutions Training Solutions Experimentation Evaluation Techniques

What you'll do

Models and develops advanced AI hardware co-designed with machine learning software.
Optimizes software for specific hardware features to enable efficient AI model deployment.
Applies machine learning techniques into products and solutions for customer use.
Develops novel ML solutions aligned with product proposals and roadmaps.
Conducts experiments to train, evaluate, and improve machine learning models.

What we're looking for

2+ years experience in low-level OS-Hardware interactions (Linux, Android, QNX).
Expertise in developing optimized AI software for specific hardware features.
Proficiency in machine learning techniques and tools for product development.
Experience in co-designing ML hardware with software teams for inference/training.
Conducts experiments to train and evaluate machine learning models and software.

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