Apple is seeking to design the next generation of revolutionary Apple products by leveraging machine learning and physical design expertise to optimize Power, Performance, and Area (PPA) for SoCs, ensuring the most efficient application processors for upcoming products.
Requirements
- 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, LLMs.
- Excellent programming skills in Python and C/C++.
- Master's or PhD with relevant publications in Machine Learning and/or EDA algorithms.
Responsibilities
- Use experience in physical design and machine learning to solve very hard and unique problems.
- 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.
- Collaborate cross functionally with design, power, post silicon, CAD, software, and machine learning teams.
- Work on physical design machine learning efforts to ensure SoCs achieve optimal Power, Performance, and Area (PPA).
- Craft and implement methodologies and solutions with a high impact on upcoming products.
- Account for every nano watt, every nano meter, and every pico second in design efforts.
- Be part of a hands-on development team that sets the standard in cultivating excellence, creativity, and innovation.
Other
- Minimum BS and 10+ years of relevant industry experience.
- Excellent communication and organizational skills.
- Ability to collaborate cross functionally in an engaging and rewarding environment.
