As a Mixed-Signal IP Machine Learning Engineer at Apple, you'll be part of the Silicon Technologies group, working on developing and implementing methodologies and solutions for upcoming products. Your role will focus on optimizing Power, Performance, Area, and Robustness (PPAR) in mixed-signal IP development using machine learning techniques. You'll collaborate with multi-functional teams, including firmware, system architecture, and validation teams, to create efficient silicons for the next generation of Apple products.
Key responsibilities include: • Developing machine learning models and systems to optimize PPAR of mixed-signal IPs • Exploring and evaluating various machine learning algorithms for specific problems • Collaborating with cross-functional teams in a highly engaging environment • Staying up-to-date with the latest advancements in machine learning and related fields
This role offers an opportunity to work on cutting-edge technology that will impact millions of Apple customers daily. You'll be part of a team building the most efficient silicons on the planet, powering future Apple products.