Systems Engineer: On-Device Agentic AI at Qualcomm Technologies Inc Turkey

Seoul, , South Korea -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Language Models, Multimodal Language Models, Multimodal Retrieval, On-Device AI, Lightweight Model Development, Problem-Solving, Analytical Skills, Communication, Teamwork, Software Development

Industry

Telecommunications

Description

Company: 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. Qualifications: 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.. Mandatory experience with Natural Language Processing (NLP), Language Models, Multimodal Language Models, or Multimodal Retrieval. Experience with on-device AI and lightweight model development. Excellent problem-solving and analytical skills. Effective communication and teamwork skills. Preferred Qualifications: A strong publication record in major conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, and COLM. Strong software development skills Experience in software development for mobile or embedded environments Minimum Qualifications: • 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. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

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Responsibilities

Research and develop algorithms for intelligent, personalized, and context-aware assistance. Design and implement heterogeneous system architectures for on-device agentic AI.