퀄컴코리아에서 온디바이스 에이전트 AI 연구개발을 담당할 전문가를 모집합니다. NLP 및 대규모 비전 모델(LVM)에 대한 깊은 이해와 PyTorch 활용 능력이 필수입니다. 온디바이스 환경에 최적화된 소형 언어 모델 및 에이전트 시스템을 설계하며, 세계적인 AI 학회에 연구 성과를 발표할 수 있는 역량을 갖춘 분을 찾습니다.
Qualcomm Korea YH
Engineering Group, Engineering Group > Machine Learning Engineering
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.
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.
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.
• 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.
OR
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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