Machine Learning Framework, Compiler & Performance Engineer (Staff Level and Up)

Qualcomm is seeking a Machine Learning Framework, Compiler & Performance Engineer to join their ML Systems Team. This role sits at the intersection of artificial intelligence and mobile computing, as Qualcomm works to make AI ubiquitous across devices. The position involves developing ML/AI compilers and analyzing ML/AI algorithms to drive future hardware and software innovations.

The role offers a unique opportunity to work on cutting-edge AI technology, focusing on power-efficient on-device AI and edge cloud AI solutions. As a team member, you'll be responsible for developing compiler technologies that optimize ML/AI workloads for Qualcomm's hardware, while also contributing to the analysis and enhancement of ML algorithms for future hardware designs.

The ideal candidate will bring strong expertise in compiler design, machine learning frameworks, and performance optimization. You'll work with technologies like PyTorch and ONNX, while utilizing your skills in C++ and Python to create high-performance solutions. The position requires both technical depth in computer architecture and the ability to work effectively in cross-functional teams.

Qualcomm offers comprehensive benefits including health coverage, financial planning programs, and continuous learning opportunities. The company's commitment to innovation in AI and mobile technology makes this an exciting opportunity for someone looking to shape the future of machine learning hardware and software integration.