About the job
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.
Responsibilities
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
Qualifications
Minimum
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.
Preferred
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