Apple
Physical Design Engineer, Machine Learning
$150K–$278K
San Jose, California · Full-time · Posted Oct 26, 2026
- Experience
- 3+ years of relevant industry experience.
- Education
- Minimum BS.
About the job
Applies machine learning and optimization to physical design flows, developing models and agentic systems that improve SoC power, performance, area, and design-flow convergence.
What you'll do
- Apply machine learning and algorithms across physical design, including synthesis, floorplanning, place and route, and analysis.
- Train and deploy models in production P&R flows to predict and optimize outcomes.
- Build tools and autonomous or semi-assisted agents that use EDA tooling to propose, evaluate, and iterate on design changes.
What they ask for
- Experience with optimization algorithms and programming in Python or C/C++.
- Academic or industry experience in physical design.
Nice to have
- Practical experience with ML approaches such as GNNs, transformers, diffusion models, or reinforcement learning.
- Experience building agentic systems or integrating ML models and agents into EDA tool flows.
Pay
$150,400 and $277,600 (base salary)
Tools
Python, C/C++, GNNs, reinforcement learning, LLM-based agents, EDA, P&R, TCL
AI focus
Develop predictive models, optimization algorithms, and autonomous agents for physical design; integrate ML into production design flows to optimize PPA and accelerate convergence.
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