Engineer, System Engineering (Machine Learning)

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.

As a Qualcomm Systems Engineer, you will research, design, develop, optimize, and validate systems-level software, hardware, architecture, algorithms, and machine learning solutions that enables the development of cutting-edge technology, specifically in the AI/ML field.

Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is your opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm high-performance AI inference accelerators for cloud, edge and hybrid AI applications.

Key Responsibilities: • Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability • Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and machine learning solutions • Support customer engagement with AI model/workload optimization and deployment • Perform ML model benchmarking and functional analysis to drive requirements and specifications • Build ML systems/solutions and develop and analyze system level design • Collaborate with own team and other teams to complete project work • Keep abreast with the latest advancements in the AI/ML space and drive innovative solutions • Develop new and innovative ideas for a product or feature area • Drive triage of problems at the system level to determine root cause and present results of testing and debugging to team members

This role offers an exciting opportunity to work on cutting-edge AI/ML technologies and contribute to Qualcomm's leadership in high-performance AI inference accelerators.