Senior AI Researcher, -Device LLM Efficiency

Company

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

$ - $. 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 location.

If you would like more information about this role, please contact Qualcomm Careers.

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 disability‑ 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.

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Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.