Physical Design Engineer, Machine Learning

At Apple, we're seeking a talented Physical Design Engineer specializing in Machine Learning to join our innovative Hardware team. This role represents a unique opportunity to shape the future of Apple's revolutionary products through the intersection of physical design and machine learning.

The position involves working on cutting-edge machine learning applications in physical design, focusing on optimizing Power, Performance, and Area (PPA) for Apple's System-on-Chip (SoC) designs. You'll be part of a dynamic team that sets industry standards in cultivating excellence, creativity, and innovation.

As a Physical Design Engineer, you'll collaborate with multi-functional teams across design, power, post-silicon, CAD, software, and machine learning departments. Your expertise will be crucial in implementing advanced methodologies and solutions that directly impact millions of Apple customers worldwide.

Key aspects of the role include:

• Applying machine learning techniques to physical design challenges
• Working on RTL design, logic synthesis, and floor planning
• Managing power/clock distribution and place-and-route operations
• Conducting timing/noise analysis and power/thermal analysis
• Implementing voltage drop analysis and design for manufacturing/yield

The ideal candidate brings 10+ years of relevant industry experience, strong VLSI fundamentals, and expertise in machine learning algorithms. You should be proficient in Python and C/C++ programming, with experience in advanced ML algorithms like GNNs, VAEs, transformers, and diffusion models.

This role offers competitive compensation ($175,800 - $312,200) plus comprehensive benefits including medical coverage, stock options, and education reimbursement. Join us in crafting the next generation of revolutionary Apple products that delight and inspire millions of customers every day.