Physical Design Engineer, Machine Learning

Summary

Come help us design the next generation of revolutionary Apple products. We are looking for an engineer who combines deep physical design expertise with hands-on machine learning skills. In this role, you will work on our physical design machine learning efforts — building predictive models, optimization algorithms, and autonomous agents that collaborate with our internal design teams to help our SOCs achieve optimal Power, Performance, and Area (PPA).

Description

As a member of the Physical Design Machine Learning team, you will help build the most efficient application processors on the planet, powering the next generation of Apple products.

Minimum Qualifications

Minimum BS and 3+ years of relevant industry experience

Experience with optimization algorithms and programming in Python or C/C++

Academic or industry experience in physical design

Preferred Qualifications

Practical experience with a range of ML approaches including classical/traditional models, GNNs, transformers, diffusion models, and/or reinforcement learning

Experience building agentic systems, LLM-based agents, tool-calling/function-calling, multi-agent orchestration, or autonomous decision-making loops

Experience integrating ML models or agents into EDA tool flows via scripting (Python/TCL) or APIs

Master's or PhD with relevant publications in Machine Learning and/or EDA algorithms

Excellent communication and organizational skills