Sr Engineer/ Lead Sr Enginner, Data Analytics and ML Model Development

General Summary:

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 Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.

Minimum Qualifications:

Our team is focused on applying state-of-the-art AI and ML technologies to solve complex business problems in the chip design, qualification, and debug engineering processes. We aim to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development.

We are looking for a passionate and technically strong engineer to join our team focused on developing advanced data analytics and machine learning models that drive innovation in chip design, qualification, and debug engineering. This role involves building scalable data pipelines, developing custom ML models, and applying statistical and deep learning techniques to extract actionable insights from complex datasets.