Embedded Software Engineer in Machine Learning

Advance your career with Qualcomm Canada ULC as an Embedded Software Engineer focusing on Machine Learning. Drive innovations in model efficiency, compression, and inference optimization through research. As part of the Low Power AI Solution team at Qualcomm, you will lead initiatives aimed at enhancing AI processing efficiency. This role demands deep expertise in neural networks and model compression, alongside strong understanding of hardware-software integration. Collaborate with global teams to design systems bolstering Qualcomm's AI accelerator capabilities. Key Responsibilities Conduct research on ML system optimization techniques Develop system solutions with software-hardware co-design Convert research findings into production-ready AI solutions Influence future features for Qualcomm's AI accelerators Collaborate with cross-functional teams on project goals Requirements Proven research excellence in ML efficiency Expertise in model compression and inference algorithms Experience with compiler stack optimization for AI Strong ML fundamentals and programming skills Hands-on experience with model development pipelines Utilize your research skills to shape efficient AI applications at Qualcomm and stimulate innovative growth. J-18808-Ljbffr