AI Researcher: On-Device Agentic AI

Qualcomm Korea YH

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Company Introduction:

Qualcomm is a global leader in mobile technology innovation and is at the forefront of developing next-generation on-device AI technologies. The Qualcomm AI Research Korea conducts core AI research and development, creating intelligent agent technologies that will revolutionize the user experience. We look forward to receiving applications from passionate and talented individuals eager to shape the future of on-device AI technology with us.

Job Summary

This role is responsible for researching and developing innovative on-device agentic AI systems that deliver personalized services. Agentic AI naturally follows a heterogeneous architecture, designed to handle tasks of varying complexity across different modalities. You will contribute to building on-device small language and multimodal models tailored for agentic AI, enabling intelligent assistance with a deep understanding of user context.

Key Responsibilities

• Research and develop algorithms that understand user behaviors and multimodal contextual signals to enable intelligent, personalized, and context-aware assistance.
• Research and develop advanced multimodal and small language models tailored for on-device deployment, ensuring efficiency, low latency, and contextual relevance.
• Design and implement heterogeneous system architectures for on-device agentic AI, supporting intelligent memory, continual learning, and personalization.
• Establish technical influence by presenting research findings and proprietary technologies at world-class AI conferences.

• Ph.D. in Computer Science, Artificial Intelligence, or a related field with 3+ years of relevant experience, or equivalent practical experience.
• Mandatory experience with modern machine learning frameworks, including PyTorch..
• Proven expertise in Natural Language Processing (NLP) and Large Vision Models (LVM), with a focus on information extraction, LLM/LVM prompt engineering, and fine-tuning strategies
• Experience with on-device AI and lightweight model development.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork skills.

• Prolific record of high-impact publication in top-tier AI conferences including CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, ACL (main), and EMNLP (main), or a proven track record in industrial R&D.
• Deep architectural understanding and research experience with LLMs and LVMs that goes beyond basic prompting and inference (e.g., structural optimization, custom layer design, or fundamental algorithmic improvements).
• Experience with advanced machine learning techniques such as Reinforcement Learning (RL), Memory Network, Reasoning
• Software development experience in mobile or embedded environments.
• Proficiency in large-scale data processing and distributed analysis.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field.

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