Machine Learning Performance and Power Engineer

Qualcomm Technologies, Inc. is seeking a Machine Learning Performance and Power Engineer to join their team in Austin, Texas. This role sits at the intersection of machine learning and hardware optimization, focusing on enhancing the performance and efficiency of ML systems. The position offers an opportunity to work with cutting-edge technology at a global leader in wireless innovation and semiconductor manufacturing.

The role involves analyzing machine learning KPIs, optimizing software and architecture for better performance, and collaborating across hardware and software teams. You'll be responsible for conducting performance testing of multi-threaded systems and developing optimization tools while staying current with the latest advancements in computer architecture and machine learning models.

The ideal candidate will bring a strong educational background in Electrical Engineering, Computer Science, or related fields, combined with significant experience in software engineering or systems engineering. Key technical requirements include expertise in computer architecture, multi-threaded software development, and performance optimization, along with proficiency in programming languages like C++ and Python.

Qualcomm offers a comprehensive benefits package including competitive base salary ($180,400 - $270,600), annual bonus opportunities, RSU grants, and extensive health and wellness benefits. The company provides a collaborative environment where innovation is encouraged and career growth is supported through continuous learning and development programs.

This position represents an excellent opportunity for experienced engineers looking to impact the future of machine learning hardware optimization while working with industry-leading experts in a stable, growing company known for its technological innovations and strong market position.