Apple is looking to solve very hard and unique problems in physical design machine learning efforts to ensure that their SOCs achieve optimal Power, Performance, and Area (PPA) for their next generation of revolutionary Apple products.
Requirements
- Understanding of optimization algorithms, complex data structures, and/or linear algebra.
- Understanding of VLSI fundamentals, including physical design.
- Practical experience and knowledge in advanced machine learning algorithms like GNNs, VAEs, transformers, diffusion models, LLMs.
- Excellent programming skills in Python and C/C++.
Responsibilities
- 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.
- 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.
- 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.
Other
- Minimum BS and 3+ years of relevant industry experience.
- Master's or PhD with relevant publications in Machine Learning and/or EDA algorithms.
- Excellent communication and organizational skills.
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
- We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
