Machine Learning Software Engineer - Embedded-Agentic-AI

Qualcomm, a pioneer in On-Device AI technology, is seeking a Machine Learning Software Engineer to join their innovative team in Seoul. This role sits at the intersection of artificial intelligence and embedded systems, working alongside team members in San Diego, Amsterdam, and Beijing. The position focuses on developing cutting-edge AI frameworks that are optimized for mobile and edge devices, with a unique emphasis on agentic AI that can learn and adapt through interaction.

The role offers an exceptional opportunity to work with Qualcomm's advanced SOC compute and heterogeneous hardware accelerators, including CPU, GPU, and NPU platforms. You'll be part of a multi-disciplinary team that combines machine learning research with practical software development, creating solutions that will transform how AI technology integrates into everyday devices.

As a Machine Learning Software Engineer, you'll contribute to groundbreaking projects that enable AI technology to operate efficiently on mobile devices, working on systems that can learn and interact without requiring extensive labeled data. The position requires strong programming skills in both Python and C/C++, along with practical experience in machine learning frameworks and embedded systems development.

Qualcomm offers a comprehensive benefits package including world-class health coverage, financial planning programs, and continuous learning opportunities. The company's commitment to innovation and technological advancement makes it an ideal environment for engineers looking to make a significant impact in the field of AI and embedded systems. Working at Qualcomm means joining a team of respected technology experts while having access to mentorship programs and professional development resources that support your career growth.