Machine Learning Framework, Compiler & Performance Engineer

Qualcomm is seeking a Machine Learning Framework, Compiler & Performance Engineer to join their ML Systems Team. This role sits at the intersection of AI/ML and systems engineering, focusing on developing and evolving ML/AI compilers for efficient mapping of algorithms on current and future hardware. The position offers an opportunity to work with cutting-edge technology in mobile AI and edge computing.

The role involves both practical development work and forward-looking research, including compiler development, performance optimization, and analysis of ML/AI algorithms. You'll be working on creating efficient implementations that couple PyTorch framework with Qualcomm's ML/AI Compiler flows, while also contributing to the future direction of Qualcomm's ML hardware and software offerings.

As a successful candidate, you'll be part of Qualcomm's vision to make AI ubiquitous, expanding beyond mobile and powering various end devices, machines, vehicles, and things. The company is actively inventing and developing power-efficient on-device AI, edge cloud AI, and 5G technologies. You'll work in cross-site, cross-functional teams, collaborating with experts in the field.

The position offers comprehensive benefits including world-class health coverage, financial planning programs, emotional/mental health support, and continuous learning opportunities through tuition reimbursement and mentorship programs. This is an excellent opportunity for someone passionate about ML/AI who wants to work at the forefront of mobile and edge computing technology, making a direct impact on next-generation AI systems.