AI Researcher, -Device LLM Efficiency

Company

Qualcomm Technologies, Inc.

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 achieving 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.

• Master's degree 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.

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. Qualcomm is committed to providing an accessible process for individuals with disabilities and will provide reasonable accommodations to support them in the hiring process.

$ - $. Additional benefits include a competitive annual discretionary bonus program, opportunity for annual RSU grants, and a highly competitive benefits package to support success at work, at home, and at play.

For more information about this role, please contact Qualcomm Careers.