Physical Design Engineer, Machine Learning
Core
Designing predictive models, optimization algorithms, and autonomous agents to optimize Power, Performance, and Area (PPA) for System-on-Chip (SoC) physical design.
Role type
Senior IC machine learning engineer (physical design/EDA)
Builds
Production ML models and optimization agents integrated into Electronic Design Automation (EDA) flows for chip manufacturing.
Domain
Semiconductor industry + Physical Design / Machine Learning
Deliverable
production ML models
Required skills
Physical design flow expertise, optimization algorithms, Python, C/C++, GNNs, reinforcement learning, LLM-based agents, EDA tool scripting
Preferred skills
Diffusion models, multi-agent orchestration, autonomous decision-making loops, Master's/PhD in ML or EDA
Technologies
Python, C/C++, GNNs, transformers, diffusion models, LLMs, EDA tools
Responsibilities
Apply ML to solve problems across RTL synthesis, floorplanning, place and route, timing, noise, power, thermal analysis, and DFM/yield; Train and deploy models into production P&R flows; Build tools and autonomous agents for design optimization; Collaborate with design, power, CAD, and software teams.
