This role is for a talented engineer to join Apple's physical design machine learning architecture team. The team focuses on developing methodologies and solutions that significantly impact upcoming products. You will work collaboratively with multi-functional teams to optimize the Power, Performance, and Area of SoCs. This position offers the opportunity to tackle unique challenges in physical design and machine learning, contributing to the creation of revolutionary Apple products.

• Minimum BS and 10+ years of relevant industry experience.
• Experience with VLSI fundamentals, including physical design.
• Experience with optimization algorithms, complex data structures, and linear algebra.
• Practical experience and knowledge in advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, and 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.

• Use experience in physical design and machine learning to solve complex problems.
• Impact various areas of the flow including RTL design, logic synthesis, and floor planning.
• Collaborate cross-functionally with design, power, post silicon, CAD, software, and machine learning teams.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.