Edge AI Researcher: LLM Efficiency & On-Device Inference

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

Job summary

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to advance ML methodologies for mobile, edge, auto, and IoT devices. This role emphasizes fundamental research and creative ML techniques to achieve beyond state-of-the-art performance.

You will collaborate with cross-functional teams to translate research into practical deployments across Qualcomm’s product portfolio, contributing to both hardware-accelerated and software-based solutions.

Qualifications

• Master's degree or PhD in a related field.
• 4+ years AI research experience.
• Experience in LLM inference or acceleration.

Responsibilities

• Research and development in LLM inference efficiency algorithms and model architecture design.
• Implementation and evaluation of solutions in simulation and on-device environments.

Skills

Deep learning

Transformers

Python

PyTorch

LLM inference

Inference acceleration

Education

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

PhD in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

Python

Job description

Qualcomm Technologies, Inc. is seeking a Machine Learning Researcher to advance ML methodologies for mobile, edge, auto, and IoT devices. This role emphasizes fundamental research and creative ML techniques to achieve beyond state-of-the-art performance.

You will collaborate with cross-functional teams to translate research into practical deployments across Qualcomm’s product portfolio, contributing to both hardware-accelerated and software-based solutions.