Physical Design Engineer, Machine Learning

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. Minimum Qualifications Minimum BS and 3+ years of relevant industry experience Understanding of optimization algorithms, complex data structures, and/or linear algebra. Understanding of VLSI fundamentals, including physical design. Preferred Qualifications Practical experience and knowledge in 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.