Qualcomm Technologies, Inc. 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 AI innovation, specifically in 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 constraints and challenges of on-device deployment.
The ideal candidate will bring a strong foundation in computer science and deep learning, complemented by practical experience in LLM optimization and acceleration. You'll work alongside world-class researchers and engineers, contributing to groundbreaking research while implementing solutions that impact millions of devices globally.
Qualcomm offers an environment that promotes innovation and professional growth, backed by competitive compensation including base salary, annual bonuses, and equity grants. The company's comprehensive benefits package supports both professional development and personal wellbeing, including medical coverage, continuous learning programs, and mentorship opportunities.
This role presents a unique opportunity to shape the future of on-device AI while working for a global leader in mobile technologies. You'll be at the intersection of research and practical implementation, contributing to publications while developing solutions that advance the field of efficient AI computing.
The position requires a combination of technical expertise, research acumen, and practical problem-solving skills. You'll be expected to balance theoretical research with practical implementation, ensuring solutions are both innovative and deployable in real-world scenarios. This role offers the chance to work on challenging problems while contributing to the advancement of AI technology in mobile and edge devices.