Physical Design Engineer, Machine Learning 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.

You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. We are looking for a forward-thinking and talented engineer. As a member of our team, you will have the opportunity to craft and implement methodologies with high impact on upcoming products that will delight millions of Apple’s customers. In this role, you will be involved in our physical design machine learning efforts, collaborating with internal teams, and using your expertise to ensure that our SOCs achieve optimal Power, Performance, and Area (PPA). Description As part of the physical design machine learning architecture team, you will work on building efficient application processors for Apple products. Your experience in physical design and machine learning will help solve complex problems across RTL design, logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, and manufacturing/yield considerations. You will collaborate with design, power, post silicon, CAD, software, and machine learning teams in a dynamic environment. Minimum Qualifications Bachelor’s degree and 3+ years of relevant industry experience. Understanding of optimization algorithms, data structures, and linear algebra. Knowledge of VLSI fundamentals, including physical design. Preferred Qualifications Experience with advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, LLMs. Programming skills in Python and C/C++. Master’s or PhD with relevant publications in Machine Learning or EDA algorithms. Strong communication and organizational skills. At Apple, compensation includes base pay within a range depending on skills and experience, along with stock programs, benefits, and educational reimbursement. The role may also be eligible for bonuses, commissions, or relocation support. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.

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