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Qualcomm

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Work type: On-site
Location: —
Posted: 61 days ago

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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 239 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 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 Senior Software Engineer on the Qualcomm AI Stack team, you will play a pivotal role in designing and developing advanced features within the Qualcomm AI Runtime (QAIRT) SDK and Generative AI Inference Extensions (Genie). Your daily tasks will include crafting efficient software solutions for executing cutting-edge generative AI models on Snapdragon platforms, collaborating with cross-functional teams to deliver scalable AI products, and independently contributing to feature development. You should be proficient in machine learning frameworks like TensorFlow or PyTorch, have experience with embedded system optimization, and possess strong programming skills in languages such as Python or C++. Additionally, familiarity with operating systems like Linux and hands-on experience with low-level hardware interactions are essential for this role, which focuses on enabling customers to leverage AI technologies effectively.

Skills

Python C++ TensorFlow PyTorch Keras Linux Android Machine Learning Deep Neural Networks Large Language Models NLP Compiler Tools Model Efficiency Tools Optimized Software Development Collaborative Design Complex Machine Learning Algorithms Experimentation with ML Models

What you'll do

Develop software for Qualcomm AI Stack SDKs to support advanced generative AI models.
Assist in feature development and application of ML techniques into products and solutions.
Work independently on optimizing AI software tools with new features and optimizations.
Extend training or runtime frameworks using machine learning knowledge and expertise.
Conduct complex experiments to train and evaluate machine learning models independently.

What we're looking for

2+ years experience in developing software for AI frameworks like TensorFlow, PyTorch.
2+ years expertise in embedded system development with application to ML domains.
Proficient in programming languages suitable for machine learning (Python, C++, etc.).
Strong background in statistics and probability for ML applications.
Experience working on low-level OS-Hardware interactions (Linux, Android).
Applies ML knowledge to extend training or runtime frameworks with new features.
Develops optimized software enabling AI models on specific hardware features.

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