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# Senior AI Researcher, On-Device LLM Efficiency

- **Company:** Qualcomm
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $159,100.0 - $238,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Computer Programming, Computer Engineering, Python (Programming Language), Machine Learning, Smart Devices, Software Deployment, Software Engineering, Pytorch, Large Language Models, Deep Learning, Information Technology
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4e822b009d7e1ea1

## About the Role

* Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

 * 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods., * Master's degree in Computer Science, Electrical Engineering, or related field
 * 4+ years of AI research experience
 * Strong background in deep learning and Transformers
 * Strong programming skills in Python and PyTorch
 * Experience in LLM reasoning or inference acceleration research, * PhD in Computer Science, Electrical Engineering, or related field
 * Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
 * Experience in on-device AI deployment on mobile or edge devices
 * Publishing research papers at top-tier AI/ML conferences, e.g., NeurIPS, ICML, and ICLR, as a lead author

## Description

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Researcher, you will conduct fundamental research that creates innovative machine learning methodology that achieves beyond state-of-the-art performance. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning research., * Research and development in the area of LLM inference efficiency algorithms, efficient model architecture design, and/or LLM training

 * Develop creative solutions with consideration of practical challenges on devices
 * Implementation and evaluation of possible solutions in both simulation and on-device environments


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