AI Research Engineer - Chip Design
Core
Research and build AI systems to improve Apple silicon chip design metrics (Power, Performance, Area) and design turnaround.
Role type
Senior IC AI Research Engineer (Chip Design)
Builds
AI methods and agentic workflows for physical design flow (floorplanning, placement, routing, timing closure) and EDA tool automation.
Domain
Semiconductor industry + AI/ML for chip design
Deliverable
production ML models
Required skills
Deep learning model development, generative AI and LLM-based agentic workflows, handling noisy/imbalanced data, experimental design and evaluation, Python programming, problem formulation for open-ended research
Preferred skills
PhD in AI/CS/EE, publications at top-tier AI/EDA venues, chip design flow knowledge (physical design, place & route, STA), foundation model adaptation, graph neural networks, Bayesian optimization, active learning, reinforcement learning, EDA tool scripting (Python/TCL)
Technologies
PyTorch, LLMs, EDA tools, Python, TCL
Responsibilities
Develop AI methods for physical design flow combining predictive models and generative AI; Design agentic workflows connecting LLMs to EDA tools; Work with design teams to define research questions and success criteria; Extract and validate data from EDA tool outputs; Run experiments and report results; Integrate prototypes into production flows; Shape new research directions
Seniority
Senior, hands-on IC
