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Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Posted: 45 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $180k

$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.

Based on 238 similar postings.

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About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 660 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

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At a glance

TL;DR · Careers

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As a Senior Machine Learning Engineer on the AI Solutions team, you will apply your expertise in ML frameworks like TensorFlow and PyTorch to develop optimized software for AI model deployment across various hardware platforms. Your daily tasks include extending training or runtime frameworks with new features, collaborating on the co-design of machine learning hardware and software, and developing efficient tools that leverage specific hardware capabilities. You will work closely with team members to integrate advanced ML techniques into products, conduct complex experiments independently, and assist in the development of AI solutions for customers. The role requires proficiency in Python or C++, experience with embedded systems optimization, and a strong background in statistics and probability. This position is ideal for someone who thrives in a large matrixed organization and enjoys tackling intricate business problems at scale.

Skills

Python TensorFlow PyTorch Keras R C++ Linux Android QNX Machine Learning NLP Bayes Rule Conditional Probability CI/CD

What you'll do

Applies Machine Learning knowledge to extend training or runtime frameworks.
Models, architects, and develops machine learning hardware for inference solutions.
Develops optimized software enabling AI models on specific hardware features.
Assists with the development and application of machine learning techniques into products.
Conducts complex experiments to train and evaluate machine learning models independently.

What we're looking for

2+ years experience with Machine Learning frameworks like TensorFlow, PyTorch.
2+ years in embedded system development for ML applications.
2+ years programming in languages suitable for ML such as Python or C++.
2+ years using statistics and probability in ML projects.
Experience extending training or runtime ML frameworks with new features.

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