Physical Design Engineer, Machine Learning

$143,100 - $264,200/Yr

Apple - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

Computer and Electronic Product Manufacturing

About the position

At Apple, we believe our products begin with our people. By hiring a diverse team, we drive creative thought. By giving that team everything they need, we drive innovation. By hiring incredible engineers, we drive precision. And through our collaborative process, we build memorable experiences for our customers! These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives. You will become part of a hands-on development team that sets the standard in cultivating excellence, creativity, and innovation. Come help us design the next generation of revolutionary Apple products. We are looking for a forward-thinking and unusually talented engineer. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple's customers every single day. In this role, you will be directly involved in our physical design machine learning efforts, collaborating right alongside our internal multi-functional teams, and using your expertise in machine learning and physical design to ensure that our SOCs achieve the optimal Power, Performance, and Area (PPA). We account for every nano watt, every nano meter, and every pico second. As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products. You will use your experience in physical design and machine learning to solve very hard and unique problems. Your work will directly impact vast areas of the flow including RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, design for manufacturing/yield, and beyond. You will collaborate cross-functionally with design, power, post silicon, CAD, software, and machine learning teams in an engaging and rewarding environment.

Responsibilities

• Collaborate with internal multi-functional teams to enhance physical design machine learning efforts.
• Utilize expertise in machine learning and physical design to optimize SOCs for Power, Performance, and Area (PPA).
• Impact various areas of the design flow including RTL design, logic synthesis, floor planning, and more.
• Solve complex problems using experience in physical design and machine learning.
• Engage in cross-functional collaboration with design, power, post silicon, CAD, software, and machine learning teams.

Requirements

• Minimum BS degree and 3+ years of relevant industry experience.
• Strong intellectual curiosity and a solid math background.
• Understanding of algorithms and data structures.
• Solid understanding of VLSI fundamentals, including physical design.

Nice-to-haves

• Practical experience with advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, LLMs.
• Excellent programming skills in Python and C/C++.
• Master's or PhD with relevant publications in Machine Learning and/or EDA algorithms.
• Excellent communication and organizational skills.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's discretionary employee stock programs.