System SW Architecture - ML Acceleration Lead Engineer

Join Qualcomm's System Software Architecture team as an ML Acceleration Lead Engineer, where you'll be at the forefront of developing cutting-edge CPU and NPU features for ML/AI acceleration. This role offers exposure to Qualcomm's advanced SoC technologies and the opportunity to shape the future of machine learning optimization. You'll work with the latest ARM architecture features like SME and SVE to enhance ML model performance on Qualcomm's CPU platforms.

The position combines deep technical expertise in machine learning, software architecture, and hardware optimization with leadership responsibilities. You'll collaborate across system and hardware teams to define software architecture for ML acceleration, while optimizing core ML kernels and mathematical libraries. This role is perfect for someone who has strong programming skills, deep understanding of ARM ISA, and passion for performance optimization.

Qualcomm offers a comprehensive benefits package including competitive base salary, annual bonuses, RSU grants, and extensive health coverage. The company's commitment to innovation and technological advancement makes it an ideal place for engineers looking to work on industry-leading ML/AI solutions. Located in San Diego, you'll be part of a global team pushing the boundaries of what's possible in mobile and embedded AI computing.

The role requires a combination of technical depth in machine learning, system architecture, and leadership skills. You'll be responsible for developing and optimizing critical mathematical libraries that power AI applications across Qualcomm's product portfolio. This is an opportunity to make a significant impact on the future of AI acceleration in mobile and embedded devices while working with some of the industry's brightest minds.