On-Device LLM Research Scientist: Edge AI & Optimization

Qualcomm; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Qualcomm seeks an AI Researcher focused on on-device LLM efficiency to advance next‑generation wireless and mobile platforms. You will research and prototype algorithms for model compression, quantization, pruning, distillation, and on‑device inference optimization across smartphones, IoT, and automotive systems.

Collaborating with cross‑functional silicon, software, and product teams, you will design experiments, benchmark models, and translate research into production‑ready solutions.

Qualifications

• Researching AI model efficiency on-device across platforms.
• Experience with model compression, quantization, pruning and distillation.

Responsibilities

• Research and prototype algorithms for model compression, quantization, pruning, distillation.
• Optimize on-device inference across smartphones, IoT, and automotive systems.

Skills

Model compression

Quantization

Pruning

Distillation

On-device inference

Job description

Qualcomm seeks an AI Researcher focused on on-device LLM efficiency to advance next‑generation wireless and mobile platforms. You will research and prototype algorithms for model compression, quantization, pruning, distillation, and on‑device inference optimization across smartphones, IoT, and automotive systems.

Collaborating with cross‑functional silicon, software, and product teams, you will design experiments, benchmark models, and translate research into production‑ready solutions.