Careers

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Posted
42 days ago
Closes
Nov 2, 2026
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $217k
$161k most similar roles pay here $273k

This listing doesn't post a salary. Most similar roles pay $184,412–$249,750.

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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As a Machine Learning Engineer at Qualcomm Technologies, you will join a dynamic team to develop and implement cutting-edge machine learning solutions across various technology verticals including mobile, edge computing, automotive, and IoT. Your primary responsibilities include extending training or runtime frameworks with new features and optimizations, collaborating on the co-design of machine learning hardware and software for inference and training solutions, and developing optimized software tools that leverage specific hardware capabilities. You will also work on adapting machine learning algorithms and models to align with product roadmaps, ensuring efficient deployment across diverse platforms. Ideal candidates have a Master's degree in Computer Science or related field, along with experience in frameworks like TensorFlow, PyTorch, and embedded system development. Proficiency in Python, C++, and knowledge of operating systems such as Linux and Android is essential for this role at Qualcomm’s scale, where you will tackle complex business problems through innovative AI solutions.

Skills

Python TensorFlow PyTorch Keras C++ Linux Android NLP Machine Learning Embedded Systems Statistics Probability CI/CD

What you'll do

  • Applies Machine Learning knowledge to extend training or runtime frameworks and optimize model efficiency tools.
  • Assists in modeling and developing machine learning hardware for inference solutions.
  • Develops optimized software enabling AI models on specific hardware features.
  • Applies machine learning techniques into products and AI solutions for customer enablement.
  • Develops, adapts, or prototypes ML algorithms, models, or frameworks aligned with product roadmap.

What we're looking for

  • Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 1+ year experience with machine learning frameworks like TensorFlow, PyTorch, and Keras.
  • 1+ year experience in embedded system development for ML applications.
  • Proficient in programming languages suitable for machine learning (Python, C++, etc.).
  • Experience using statistics and probability in machine learning contexts.
  • Familiarity with low-level OS-Hardware interactions on platforms like Linux or Android.

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