Physical Design Engineer, Machine Learning

Apple is seeking a Physical Design Engineer specializing in Machine Learning to join their hardware team in developing next-generation processors. This role represents a unique opportunity to work at the intersection of physical design and machine learning, directly impacting the development of Apple's revolutionary products that reach millions of customers worldwide.

The position involves working with cutting-edge technology in Apple's physical design machine learning architecture team, focusing on building the most efficient application processors in the industry. The successful candidate will be responsible for optimizing Power, Performance, and Area (PPA) metrics, working at the nanoscale level where every nanowatt, nanometer, and picosecond counts.

The role offers an exceptional opportunity to work alongside world-class engineers and scientists, contributing to various aspects of the development process, from RTL design and logic synthesis to power distribution and manufacturing optimization. The team environment is highly collaborative, involving cross-functional work with design, power, post-silicon, CAD, software, and machine learning teams.

Candidates should bring a strong foundation in both physical design and machine learning, with expertise in advanced algorithms like GNNs, VAEs, transformers, and LLMs. The position requires a minimum of 10 years of relevant industry experience, though candidates with advanced degrees (Master's or PhD) and relevant publications are preferred.

Apple offers a comprehensive benefits package, including competitive base pay, stock options, medical coverage, and educational support. The company's commitment to innovation, coupled with its vast resources and global impact, makes this an ideal opportunity for someone looking to make a significant contribution to the future of technology while working on some of the most advanced hardware systems in the world.