Senior AI Researcher: On-Device LLM & Edge ML

Qualcomm; San Diego (CA); On-site; USD 159,000 - 239,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego, CA, seeks a Machine Learning Researcher to conduct fundamental research and develop innovative ML methodologies for beyond state-of-the-art performance.

You will collaborate with cross-functional teams to advance ML for mobile, edge, auto, and IoT products through research and deployment. The role emphasizes on-device deployment, practical device challenges, and evaluating solutions in simulation and real hardware.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field
• 4+ years of AI research experience
• Strong background in deep learning and Transformers
• Experience with Python and PyTorch

Responsibilities

• Research and development in 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

Skills

Python

PyTorch

Transformers

Deep learning

LLM reasoning

Education

Master's degree in Computer Science, Electrical Engineering, or related field

PhD in Computer Science, Electrical Engineering, or related field

Job description

Qualcomm Technologies, Inc. in San Diego, CA, seeks a Machine Learning Researcher to conduct fundamental research and develop innovative ML methodologies for beyond state-of-the-art performance.

You will collaborate with cross-functional teams to advance ML for mobile, edge, auto, and IoT products through research and deployment. The role emphasizes on-device deployment, practical device challenges, and evaluating solutions in simulation and real hardware.