Physical Design Engineer, Machine Learning

At Apple, we believe our products begin with our people. As a Physical Design Engineer specializing in Machine Learning, you'll join a dynamic team building the most efficient application processors powering next-generation Apple products. You'll work at the intersection of physical design and machine learning, solving complex challenges in processor optimization.

The role involves direct participation in physical design machine learning efforts, working alongside multi-functional teams to optimize Power, Performance, and Area (PPA) in Apple's SOCs. Every nano watt, nano meter, and pico second counts in this position. You'll apply your expertise across RTL design, logic synthesis, floor planning, and various critical analyses including power/clock distribution, timing/noise, and voltage drop.

You'll be part of Apple's Hardware team, where innovation and precision meet to create revolutionary products used by millions globally. The position offers unique opportunities to impact product development from the ground up, working with cutting-edge machine learning technologies and physical design methodologies.

Key aspects of your role will include implementing advanced machine learning algorithms like GNNs, VAEs, transformers, and diffusion models in the context of physical design. You'll need strong programming skills in Python and C/C++, and deep understanding of VLSI fundamentals. The role combines technical expertise with collaborative teamwork, requiring excellent communication skills to work effectively across design, power, post silicon, CAD, software and machine learning teams.

This is an opportunity to work on groundbreaking technology that directly impacts vast areas of processor design and optimization. You'll be part of a team that values creativity, innovation, and technical excellence, while contributing to products that delight and inspire millions of Apple's customers every day.