Senior AI Researcher, -Device LLM Efficiency

Job Title

Machine Learning Researcher

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Researcher

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.

• 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.

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

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 Py Torch

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

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disabili or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.

Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation  also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).

In addition, our highly competitive benefits package is designed to support your success at work, at home, and r recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.