Qualcomm Senior Research Engineer On-Device LLM Efficiency 

United States, California, San Diego 

778981698

Job Area:

Engineering Group, Engineering Group > Machine Learning Researcher

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.

Minimum Qualifications:

• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

• 6+ months of experience developing and/or optimizing machine learning models, systems, platforms, or methods.

Responsibilities

• Research and engineering on efficiency of LLM inference and decoding

• Generation of creative solutions with consideration of practical challenges and restrictions on devices

• Implementation and evaluation of possible solutions in both simulation and on-device environments

• Contribution to research paper publications

Minimum qualifications

• Master's degree in AI, Computer Science, Engineering, Information Systems, or related field and 3+ years of machine learning research, or related work experience.

• Strong background in computer science and deep learning basics

• Strong programming skills in Python and PyTorch

Preferred qualifications

• PhD in AI, Computer Science, Engineering, Information Systems, or related field

• 2+ years of machine learning, deep learning, and/or NLP research experience

• Experience in LLM reasoning or inference acceleration research

• Experience of on-device AI model production or exposure to mobile / edge device environments

• First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

$179,000.00 - $268,600.00