Physical Design Engineer, Machine Learning

**Role Number:** 200607680-3749

**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

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.