Senior On-Device LLM Efficiency Researcher

QUALCOMM, Inc.; Santa Clara (CA); On-site; USD 166,000 - 250,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to conduct foundational ML research and create innovative methodology that achieves beyond state-of-the-art performance.

You will collaborate with cross-functional teams to advance ML across mobile, edge, auto, and IoT products. The role emphasizes on-device AI, efficient LLM inference, and practical deployment, with strong focus on Python and PyTorch, deep learning, and transformer models.

Qualifications

• Master's degree in Computer Science, Electrical Engineering, or related field.
• PhD in Computer Science, Electrical Engineering, or related field.
• 6+ months of AI research or ML model development experience.

Responsibilities

• Research and development in LLM inference efficiency algorithms, model architecture, and/or LLM training.
• Develop practical solutions for on-device deployment and real-world constraints.
• Implement and evaluate methods in simulation and on-device environments.

Skills

Deep learning

Transformers

Python

PyTorch

LLM reasoning

Inference acceleration

Education

Master's degree in Computer Science/Engineering

PhD in Computer Science/Engineering

Tools

PyTorch

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to conduct foundational ML research and create innovative methodology that achieves beyond state-of-the-art performance.

You will collaborate with cross-functional teams to advance ML across mobile, edge, auto, and IoT products. The role emphasizes on-device AI, efficient LLM inference, and practical deployment, with strong focus on Python and PyTorch, deep learning, and transformer models.