Senior Research Engineer for On-Device LLM Efficiency

Qualcomm, a global leader in technology innovation, is seeking a Senior Research Engineer to join their team focusing on On-Device LLM Efficiency. This role represents an exciting opportunity to work at the forefront of machine learning and artificial intelligence, specifically optimizing large language models for device-level implementation.

The position combines cutting-edge research with practical engineering applications, requiring expertise in both theoretical machine learning and hands-on implementation. As a Senior Research Engineer, you'll be responsible for developing innovative solutions for LLM inference and decoding efficiency, while considering the unique challenges of on-device deployment. The role involves working with state-of-the-art technologies and contributing to research publications in the field.

Qualcomm offers a comprehensive compensation package, including competitive base salary ranging from $159,100 to $238,700, annual bonuses, and RSU grants. The company provides excellent benefits including medical insurance, 401k, and educational support. The position is based in San Diego, California, offering the opportunity to work with some of the industry's leading minds in AI and machine learning.

The ideal candidate will have a Master's degree in AI, Computer Science, or related field with 3+ years of machine learning research experience, or a PhD in a relevant field. Strong programming skills, particularly in Python and PyTorch, are essential, as is experience with LLM reasoning or inference acceleration research. The role offers significant growth potential and the opportunity to make meaningful contributions to the future of on-device AI technology.

Working at Qualcomm means joining a team that values innovation, collaboration, and professional growth. The company's culture promotes continuous learning and development, with access to cutting-edge resources and the opportunity to work on projects that shape the future of technology. This role is perfect for someone who wants to combine research excellence with practical implementation in a leading technology company.